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Who Receives Food Stamps Today?
Most food stamp recipients are children or elderly. Over half (51
percent) are children and another 8 percent are age 60 or older. Working-
age women represent 29 percent of the caseload, while working-age men
represent 12 percent.
The majority of food stamp households do not receive AFDC or
TANF benefits. Only 35 percent do so. Other cash assistance received
by food stamp households includes Supplemental Security Income (27
percent of households), Social Security (21 percent) and State General
Assistance benefits (6 percent). Nine percent of households have no
income of any kind.
Many food stamp recipients work. Twenty-four percent of food stamp
households have earnings, and for these households, earnings are the
primary source of income.
Food stamp households have little income. Only 9 percent are above
the poverty line, while 40 percent have incomes at or below half the
poverty line. The typical food stamp household had gross income of $558
per month and received a monthly food stamp benefit of $169. Nearly
one-fourth of monthly available funds (cash income plus food stamps)
available to a typical household comes from food stamps.
Food stamp households possess few resources. The average food stamp
household possesses only about $92 in countable resources (including
vehicles, checking and savings accounts, and other savings).
Most food stamp households are small. The average food stamp
household size was 2.4, but varied considerably by household
composition. Households with children were relatively large, averaging
3.4 members. Households with elderly members tended to be smaller,
with an average size of 1.3 people.
12/1/98 FY 1997 data
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(Fax: 703-305-2576)
DATE: 3-26-99
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Who Leaving the Food Stamp Program?
An Analysis of Caseload Changes from 994'to 1997
United States Department of Agriculture
Office of Analysis, Nutrition, and Evaluation
Food and Nutrition Service
March 1999
Background
The number of people receiving food stamps
These questions cannot be answered
fell by over 5.9 million
between summer
conclusively yet. However, an analysis of
1994 and summer 1997,
with
most
of
the
food stamp administrative data provides
decline occurring in the year between
some initial insights into the changes that
September 1996 and September 1997. This
have occurred in the Food Stamp Program.
decline occurred during a period of strong
This analysis examines FSP administrative
economic growth - unemployment fell,
data from 1994, when FSP caseloads
inflation stayed low, and the percentage of
peaked, and 1997, the most recent year when
Americans living in poverty fell slightly. In
full data are available. 1997 was a transition
the same period, Congress enacted and
year as States replaced the Aid to Families
States implemented sweeping reforms to the
with Dependent Children (AFDC) program
Food Stamp Program (FSP) and to the
with Temporary Assistance for Needy
nation's welfare programs.
Families (TANF) and when changes to the
FSP took effect. Thus this report provides
Some point to the participation decline as
information about caseload changes during
proof that the strong economy is lifting all
the early stages of implementation This
boats, providing job opportunities and higher
analysis focuses on those groups most
wages for all, including low-income families
affected by welfare reform - single parents,
Welfare reform is credited with moving
legal immigrants, and unemployed childless
millions of families from dependence on the
adults.
state to work.
General Trends
However, others raise more
troubling
questions. Suppose familles are not leaving
As Table 1 shows, three major groups
the safety net for paid employment and self-
accounted for almost all the drop in the food
sufficiency but rather
remain
poor
but
stamp caseload between 1994 and 1997.
without assured access to
sufficient food to
The number of legal immigrants fell by 54
meet their basic needs?
Suppose people
percent, accounting for 14 percent of the
leaving welfare remain
eligible for food
total decline. The number of childless
stamps but don't realize
that these benefits
unemployed adults fell by 44 percent,
are still available to them?
These critics cite
accounting for 8 percent of the total decline.
the increased demand for
assistance at food
Finally, the number of families receiving
pantries and soup kitchens as evidence that
welfare benefits fell by 28 percent. Because
declining caseloads are not necessarily a sign
this group accounts for such a large share of
of success.
the FSP caseload, they represented 61
This report was prepared by Jenny Genser. Office of Analysis. Nutrition, and Evaluation, based on data prepared
by Scott Cody and Laura Castner of Mathematica Policy Research, Inc. The information presented in this report is
based on data collected by Food Stamp Program Quality Control data for fiscal years 1994 and 1997.
6.2%
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percent of the decline. Only 17 percent of
while the number of single-parents receiving
the decline came from other groups,
AFDC or TANF benefits fell overall, the
including elderly, the
disabled,
and
number of those who combined welfare with
households with earnings
and no welfare
work also rose by 9 percent. This points to
income.
an increased reliance on work among single
parents.
Thus, the steepest declines in participation
occurred among legal
immigrants
and
However, it is important to note that the
unemployed childless adults, the two groups
number of single-parent households with no
affected by tough new restrictions under
income from either welfare or work also rose
welfare reform. However, most of the
by 9 percent. Also, the number of single-
reduction occurred among the large group of
parent food stamp households receiving
cash welfare households.
welfare dropped by nearly 900,000, while the
number not receiving welfare rose by only
Trends Among Single Parent Families
120,000. Because we only have data on
food stamp participants, we don't know
Among other changes, welfare reform was
whether the households leaving both welfare
designed to move families from welfare to
and food stamps found jobs and are
work. The Aid to Families with Dependent
economically independent, or are
Program (AFDC), which was an entitlement
unemployed and in need.
for needy single parents with children, was
replaced by block grants to States to operate
Trends Among Legal Immigrants
the Temporary Assistance to Needy Families
(TANF), which was designed to provide
Welfare reform legislation made most legal
short term assistance to help poor families
immigrants ineligible for food stamps. Those
become economically self-sufficient
who were participating at the time the law
went into effect could participate until
As Table 2 shows, the number of single-
September 1997. New applicants became
parent families, the group most affected by
ineligible starting October 1996.
welfare reform, fell by 17 percent. Within
this group, the number receiving AFDC or
In 1994, nearly 1.5 million legal immigrants
TANF benefits fell by 27 percent but the
received food stamps. This number dropped
number of those not receiving welfare rose
sharply after welfare reform was enacted.
by 9 percent. This suggests that welfare
The number of legal immigrants receiving
reform has been partially responsible for the
food stamps declined steadily throughout
drop in welfare caseloads Had it been solely
late 1996 and most of 1997 (Figure 1). The
the strong economy, the
number
of
food
decline was gradual throughout the year,
stamp households with welfare and without
rather than falling sharply between August
welfare would have both fallen by similar
and September 1997. This indicates that as
amounts. It also suggests that at least some
current immigrants left the program, they
families that no longer
receive welfare
were not replaced by new immigrant
continue to receive food stamps.
participants.
Among single-parent families, the number of
Restrictions on participation by legal
those with earnings rose by 10 percent And
immigrants appear to have deterred
2
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participation by their children, many of
caseload that they represent fluctuates.
whom retained their eligibility for food
During periods of caseload expansion,
stamps. Participation among U.S. born
elderly households represent a declining
children living with their legal immigrant
share of the food stamp population. During
parents fell faster than participation among
periods of caseload decline, they represent a
children living with native-born parents
larger share.
(Table 3). The number of children living
with legal immigrants fell by 37 percent,
Changes in Ethnic/Racial Composition
versus 15 percent for children living with
native-born parents.
Some have raised a concern that those
finding work and leaving welfare are
The number of naturalized citizens receiving
predominantly non-Hispanic whites, leaving
food stamps rose by 173,000 between 1994
the welfare caseload even more
and 1997, an increase of 66 percent (Table
disproportionately minority. The data do not
4). This reflects the surge in naturalizations
support this claim. The racial composition of
starting in 1993.
the food stamp caseload as a whole is
virtually unchanged between 1994 and 1997
Trends Among Childless Unemployed
(Figure 3), despite steep drops in
Adults
participation overall.
Welfare reform restricted most childless
The same is true for AFDC/TANF recipients.
unemployed adults to no more than three
Whites left the food Stamp Program and
months of food stamps in a
36-month
period,
welfare at the same rate as minorities. The
unless they were employed or participating
in
number of whites receiving welfare and food
qualified work programs.
Many parts of the
stamps between 1994 and 1997 fell by 32
country were exempt from the work
percent, compared to a 31 percent drop for
requirement and time limit, due to waivers
African Americans and a 27 percent drop for
granted to areas with high unemployment
Hispanics. As a result, the caseload
rates or insufficient jobs.
composition is very similar for both years.
As expected, the number of unemployed
The one group where the racial/ethnic
childless adults fell by 476,000, a drop of
composition did change significantly is the
one third, between August 1996 and
unemployed childless adult group subject to
September 1997 (Figure 2). This decline
time limits. While the proportion of blacks
was sharpest in the period between January
in this group remained unchanged between
and March, 1997, as States implemented the
1994 and 1997, the proportion of whites fell,
time limits.
while the proportion of Hispanics doubled.
However, this is a relatively small group that
Trends Among the Elderly
may be heavily affected by State waiver
policy.
The number of households with aged
members dropped by 86,000 from 1994 to
About the Data
1997, a decline of less than five percent.
Over time, the number of elderly receiving
The data come from Food Stamp Quality
benefits is very steady, while the share of the
Control records. The cases are derived from
3
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MAR. 26. 1999
State samples of caseloads pulled each
month for a review on payment accuracy.
Records from all States for all months during
a fiscal year are combined into one file. Each
year, there are about 50,000 households
represented in the data.
The files are then
edited for consistency and weights are
assigned.
We analyzed data from two years -- 1994,
the year participation peaked; and 1997, the
most recent year that we have complete data.
Limitations of the Analysis
The analysis compares snapshots of the food
stamp population at different points in time.
It does not follow individuals or families
over a course of time, showing their
movements on and off jobs, welfare, or food
stamps. Nor does this analysis provide any
information about low-irlcome households
not receiving food stamps including former
participants.
4
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TABLE 1
Participation Changes from 1994 to 1997
(in thousands)
Participants:
Participants
Participation
Percent
Share of
Summer 1994
Summer 1997
Change
Change
Decline
Legal
Permanent
Residents
1,537
706
-831
54%
14%
Childless
Unemployed
Adults
1,148
648
-500
-44%
8 %
AFDC/TANF
Participants
13,052
9,442
-3,610
-28%
61%
All Other
Participants
11,697
10,707
-990
-8%
17%
TOTAL
27,434
21,503
-5,931
-22%
100%
TABLE 2:
Single Parent Households by Presence of Earnings and Welfare Receipt: 1994 and 1997
Households:
Households:
Participation
Percent
1994
1997
Change
Change
All Single Parents
4.595
3,816
-779
-17%
With AFDC/TANF
3,319
2,422
-897
-27%
Without earnings
3.022
2,097
-925
-31%
With earnings
297
325
28
9 %
Without AFDC/TANF
1.276
1,394
118
9%
Without earnings
568
614
46
8 %
With earnings
708
780
72
10%
With earnings
1.005
1,10S
100
10%
5
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FIGURE 1:
Legal Immigrant Participants:
August 1996 through September 1997
1.800
, 400
,00
000
BOD
Number on
000
400
200
0
$
a
My
was
Saptember-06
October-Df
Homema 8
Der Derector's 10
-
Fatury
With
April #
May 187
Are-91
and
A
Sectimes BY
.
TABLE 3:
Number of Children Participating by Citizenship Status of Parents:
October 1996 and September 1997
(in thousands)
Participants:
Participants:
Participation
Percent
October 1996
September 1997
Change
Change
Children Living
with Legal
Immigrants
1,251
742
434
37%
Children Not
Living with Legal
Immigrants
11,034
9,804
1,682
15%
6
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TABLE 4:
Number of Legal Immigrants by Status: 1994 and 1997
(in thousands)
Participants:
Participants:
Participation
Percent
1994
1997
Change
Change
Permanent
Resident Aliens
1,453
547
-906
- 62 %
Refugees
359
235
-104
- 31 %
Naturalized
Citizens
264
437
+173
66%
All Legal
Immigrants
2,056
1,219
-837
- 41 %
Figure 2:
Childless Unemployed Adults:
August 1996 through September 1997
1.200
1 000
800
Unemployed Chedres AGUES
Humber in thousands)
600
400
200
O
X &
August 96
September 96
Dctober-96
November 96
Cocamber =
= Amount
= Fathery
= Byd
April
May91
June-97
rev-97
August-97
September-97
- ---
7
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MAR.26.1999 8:41AM
Figure 3
Racial Composition of Food Stamp Participants Receiving Welfare: 1994 and 1997
Other
FY 1994
5%
Hispanic
19%
White
41%
Black
35%
Other
FY 1997
4%
Hispanic
19%
White
41%
Black
36%
8
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MAR.26.1999
FAX COVER SHEET
OFFICE OF ANALYSIS AND EVALUATION
FOOD AND CONSUMER SERVICE, USDA
(Office: 703-305-2019)
(Fax: 703-305-2576)
DATE: 5-25-99
TO: EXIC GOULA
OFFICE: DPC
PHONE #:
FAX PHONE #: (202)456-7431
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NOT FOR ATTRIBUTION, CITATION, OR PUBLICATION
May 20, 1999
-DRAFT--
Understanding Food Stamp Program Caseload Decline
In February 1999, the Food Stamp Program served 18.29 million people, the fewest in nearly 20
years. The number of people receiving food stamps over the past five years has fallen by 9.7
million, a drop of over one-third. This trend far outpaces the decline in poverty. Between 1995
and 1997, food stamp participation fell five times as fast as poverty. A forthcoming GAO report
will note that the decline in the number of children participating in the program between 1994 and
1997 substantially outpaced the decline in the number of children living in poverty, resulting in a
substantial fall in the percentage of poor children receiving food stamps.
At least five factors contribute to the decline in food stamp participation:
Changes in program rules under welfare reform restricted the participation of immigrants
and unemployed childless adults.
The strength of the Nation's economy allowed some participants to find work, reducing their
need for food stamps.
The success of the Temporary Assistance for Needy Families (TANF) Program moved
some participants from welfare to work, with an increase in income sufficient to eliminate the
need for food stamps.
Barriers to participation erected by some States and localities may have deterred some
eligible individuals from applying, or resulted in some participants leaving the program despite
their continued eligibility.
Lack of awareness of eligibility for the program may have led some participants to leave the
program unnecessarily and discouraged others from applying for benefits.
There is little reason for concern about falling participation if it is largely due to the first three of
these factors - the expected consequences of economic growth and welfare reform. There is
greater reason for concern and a potential need to explore policy options to redress problems to
the extent that falling participation is attributed to the last two factors.
Understanding the relative importance of these factors represents a complex analytical program.
By piecing together information from a variety of sources (with different degrees of reliability),
we can begin a preliminary assessment of their contribution. This analysis is limited to the period
between March 1994, the month in which food stamp participation peaked, and September 1997,
the last month for which we have relatively complete information Over this period, food stamp
participation dropped by just under 7 million people.
As shown in Table 1, this preliminary assessment suggests that roughly 20 percent of the decline
in food stamp participation over this period was due to new limits on immigrants and unemployed
jobless adults, roughly 30 percent was due to success of economic expansion and welfare reform
in moving people into jobs, roughly 32 percent was due to a decline in participation rates among
otherwise eligible individuals, and roughly 18 percent was left unexplained.
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Table 1
Explaining the Drop in Food Stamp Participation: March 1994 - September 1997
Number of
Relative
Participants
Contribution
Source
Net change in participation
6,974,000
100%
FNS administrative records
Welfare reform limits on:
Immigrants
1,053,000
15
FNS administrative records
Unemployed adults
327,000
5
FNS administrative records
Employment growth
2,117,000
30
FNS forecast model
Lower participation rates
2,198,000
32
Preliminary estimates from
Current Population Survey
All other/unknown
1,279,000
18
Changes in Program Rules
The food stamp provisions of welfare reform restricted the participation of many legal immigrants
and unemployed childless adults. The effect of these provisions can be seen in the drop in
participation among these groups in the period immediately following enactment of the 1996
welfare reform law. From September 1996 until September 1997, 1,053,000 million legal
immigrants and 327,000 childless adults ceased to participate in the Food Stamp Program.
Together, these two groups account for 20 percent of the March 1994 through September 1997
decline.
There may also have been a spill-over effect of the restrictions on legal immigrants. From
October 1996 to September 1997, the number of U.S.-born children of legal immigrants receiving
food stamps fell by 509,000, a drop of 41 percent, despite the fact that these children remained
eligible. Had the number of these children fallen at the same rate as children of citizen parents,
370,000 more children of immigrants would have participated in September 1997.
Employment Growth
The sustained strength of the U.S. economy has created millions of new jobs and welfare reform
has successfully moved many from welfare to work. As income rises, fewer people are eligible
for benefits; and among those who remain eligible, some may feel less need to seek government
assistance. One model of the relationship between unemployment and participation suggests that
about 30 percent of the decline in food stamp participants between March 1994 and September
1997 (2,117,000 people) may be traced to the reduction in the number of unemployed over the
2
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FAST .
same period. It is not possible to separate the effects of a strong economy from the independent
effects of welfare reform's success.¹
There is reason to celebrate the significant expansion of job opportunities among low-income
households. There is also reason to be cautious. Because baseline levels of employment and
earnings for welfare participants were so low, even substantial improvements leave most families
exiting welfare poor. And, as yet, there are few signs of substantial improvement in the count of
families and individuals officially poor. With the food stamp income limit set at 130 percent of the
poverty line, many newly working families may continue to be eligible for food stamp benefits.
Falling Participation Rates
Not all persons eligible for benefits actually participate in the program. Falling participation rates
may be symptomatic of barriers to participation erected by some States or localities² or a lack of
awareness of continued eligibility by some. Preliminary evidence suggests that participation rates
among those who are neither non-citizens nor unemployed childless adults fell significantly over
this period (from 82 percent in 1994 to 69 percent in 1997), accounting for 32 percent (or
2,198,000 people) of the caseload decline. Table 2 shows that the drop in participation rates was
sharpest among households with children and more than one adult.
The Characteristics of Leavers
As Table 3 shows, three major groups accounted for almost all the drop in food stamp caseload
between 1994 and 1997. The number of legal immigrants fell by 54 percent, accounting for 14
percent of the total decline. The number of childless unemployed adults fell by 44 percent,
accounting for 8 percent of the total decline. Finally, the number of persons in families receiving
welfare benefits fell by 28 percent. Because they make up such a large share of the food stamp
caseload, they account for 61 percent of the overall decline. Thus, the steepest declines in food
stamp participation occurred among legal immigrants and unemployed childless adults, the two
groups whose eligibility for food stamps was directly curtailed by the 1996 welfare reform law.
However, most of the reduction occurred among the large group of families receiving cash
assistance.
I
This estimate is based on a simple forecast model relating the number of unemployed in the current and lagged
quarter to the number of participants with a set of seasonal dummy variables. While not developed to explain
historical participation levels, it suggests the magnitude of the relationship between changes in unemployment and
changes in program participation. This estimate is consistent with Wallace and Blank (1999) who suggest that
declining unemployment rates can explain 28 to 44 percent of the food stamp caseload decline through 1996.
2 During the past year, FNS regional offices have reviewed access to programs in New York, Oregon, and
Wisconsin in response to complaints from advocacy groups and a member of Congress. Each review has identified
barriers that make the Food Stamp Program less accessible to cligible people.
3
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Table 2
Participation Rates Among Those in Households
with No Non-citizens or Unemployed Childless Adults
Number of Eligibles
Participation Rate
Individuals in:
1994
1997
1994
1997
Change
Households with single parents
12,995,000
12,118,000
95.8
86.2
-9.6
with earnings
4,166,000
4,893,000
63.0
67.7
4.7
without earnings
8,829,000
7,225,000
111.3
98.7
-12.6
Other households with children
7,550,000
6,887,000
96.3
74.8
-21.5
with earnings
4,667,000
4,460,000
77.2
64.0
-13.1
without earnings
2,883,000
2,427,000
127.3
94.6
-32.6
Households with elderly
members and no children
5,274,000
5,261,000
30.6
27.9
-2.7
Other households
2,681,000
3,222,000
70.2
57.3
-13.0
All Individuals
28,500,000
27,489,000
81.5
68.9
-12.6
Source: Food Stamp Program Quality Control (1994 and 1997); Current Population Survey (March 1995 and
March 1998).
Table 3
Composition of Food Stamp Caseload: 1994 - 1997
Number of Participants
Summer
Summer
Change
Percent
Share of
1994
1997
Change
Decline
Legal permanent residents
1,537,000
706,000
-831,000
-54%
14%
Childless unemployed adults
1,148,000
648,000
-500,000
-44%
8 %
AFDC/TANF participants
13,052,000
9,442,000
-3,610,000
-28%
61%
All other participants
11,697,000
10,707,000
-990,000
-8%
17%
All participants
27,434,000
21,503,000
-5,931,000
-22%
100 %
Source:
Reproduced from Table 1 in Who is Leaving the Food Stamp Program? An Analysis of Caseload
Changes from 1994 to 1997, Food and Nutrition Service, USDA, March 1999.
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P.6/8
Explaining the Drop in Food Stamp Participation: March 1994 - September 1997
Factor
Effect
Contribution
Source/Derivation
(000's)
NO.024
FNS National Data Bank (number of participants):
Participation Change
6,974
100%
March 1994
27,965
September 1997
20,991
Change
6,974
Characteristics of Food Stamp Households: Fiscal Year 1997, Tables B-1, B-3:
Welfare Reform
Permanent Resident
Unemployed Childless
Limits on:
Aliens
Adults
Immigrants
1,053
15
September 1996
1,600
989
September 1997
547
662
Unemployed
327
5
Change
1,053
327
Adults w/o
children
Derived from FNS forecast model (based on current and lagged quarterly
number of seasonally-unadjusted unemployed and seasonal dummy variables).
Employment Growth
2,117
30
Model implies a net change of 83 participants for every 100-person change in
Due to Economic
the number unemployed:
MAY.25.1999 8:50AM USDA/FCS/OAE
Strength and
Number Unemployed
Welfare Reform
1994:Q2
9,209
1997:Q4
6,659
Change
2,550 X .83 = 2,117
Note: Wallace and Blank (1999) suggest that declining unemployment rates can
explain about 28 to 44 percent of the food stamp caseload decline through
1996.
Working Draft: Do Not Attribute, Cite or Publish
P.7/8
Approximates change in participation decisions of persons eligible for benefits
independent of economic improvements. Assumes improved economy (1) reduces
Participation
2,198
32
the number of persons eligible for benefits and (2) reduces the perceived need
NO.024
Reductions among
for assistance for some, reducing participation among otherwise eligible people.
Eligibles
Independent of
Derived from preliminary CPS-based estimates of participation rates for
Economic Growth
individuals in households with neither noncitizens nor unemployed adults without
children (since participation effects of welfare reform restrictions on these
two groups are captured earlier):
Eligible
Participating
Participation Rate
August 1994
28,500
23,223
81.5
September 1997
27,489
18,912
68.8
Change
1,011
4,311
12.7
Reduction in participation due to falling number of eligibles (arguably due to
improved economy):
1,011 X .815 = 824
Reduction in participation due to falling participation rates (some of which may
be due to improved economy): 27,489 X 127 = 3,491
8:50AM USDA/FCS/OAE
Total reduction (equal to 824 + 3,491)
4,315
Previously assigned to economy
2,117
Net reduction
2,198
All Other/Unknown
1,279
18
MAY.25.1999
May 19, 1999
DRAFT
TABLE I
P.8/8
FSP PARTICIPATION RATES IN 1994 AND 1997 FOR SELECTED SUBGROUPS
1994
1997
Change
Participation
Purticipation
Participation
Eligibles
Participants
Rate
Eligibles
Participants
Rate
Eligibility
Participation
Rate
NO. NO.024
Individuals in
(000s)
(000s)
(percen!)
(000s)
(000x)
(percent)
(percent)
(percent)
(points)
Households with permanent resident aliens
6.373
3.072
48.2
1,167
968
82.9
-81.7
-68.5
34.7
) louseholds with ABAWDs¹
1,680
1,220
72.6
649
582
89.7
-61.4
-52.3
17.1
Houscholds with single parents²
12,995
12,455
95.8
12,118
10,446
86.2
-6.7
-16.1
-9.6
with earnings
4,166
2,624
63.0
4,893
3,313
67.7
17.5
26.3
47
with no earnings
8,829
9,831
111.3
7,225
7,133
98.7
-18.2
-27.4
-12.6
Other households with children²
7.550
7,271
96.3
6,887
5,154
74.8
-X.R
-29.1
-21.5
with carnings
4.667
3.601
77.2
4,460
2.856
64.0
-4.4
-20.7
-13.1
with no earnings
2.883
3,669
127.3
2,427
2,297
94.6
-15.8
-37.4
-12.6
Households with elderly and no children
5.274
1.615
30.6
5,261
1,468
27.9
-0.2
-9.1
-27
Other households
2,681
1.8M3
70.2
3,222
1.846
57.3
20.2
-2.0
-13.0
Total Individuals
36,553
27.515
75.3
29,305
20,462
69.8
-19.8
-25 n
-5 4
Sources: 1994 and 1997 IQCS Datalites. 1995 and 1998 CPS Datailes
No permanent resident aliens
'N₁ ABAWDs or permanent resident aliens
USDH/F US/UHE
МНИС:Р
CD. 1999
J. Eric Gould
04/05/99 06:01:54 PM
Record Type:
Record
To:
Cynthia A. Rice/OPD/EOP
CC:
Subject: FS Caseloads
I put together a group from OMB, CEA and USDA to discuss FS caseloads and we reconvened
today for our second meeting. I wanted to focus on 1) comparing take up rates over recent years;
and 2) economic data that could help explain the caseload anomaly. I have people more focused
now but we are creating questions faster than we are coming up with answers.
1) Take up rates. March CPS data is in (covers FY97 caseloads). USDA is really concerned that
the numbers are really screwed up since it shows that there are 6 million less eligibles than in
FY96. The good news is that if the numbers are correct than the take-up rate is actually going up
a little from 68 % in FY96 to 70% in FY97. But at this point that type of drop in eligibility is very
difficult to explain since poverty levels didn't change to near that extent. The #1 assignment for
the week is to try to get a handle on the accuracy of the new CPS data. USDA said that they
would provide the resources to do so. The data indicated that of the 6 million decrease in eligibles,
there were 3 million fewer eligible legal immigrants. Again, this was much higher than expected
and might be attributable to a) bad data; or b) underestimation of the # of eligible LI to begin with,
which is possible because the old methodology (pre 1994) was fairly poor.
Because the estimate on eligibles is still so shaky we didn't spend a lot of time discussing what
could have caused a sharp decrease in those numbers but not reflect increased income through
poverty stats. A preliminary response was that these low-income folks could be doing a better job
collecting assets, like a car.
2) Economic data. The effect of unemployment rates on caseloads needs to be completely
reexamined. The basis for these models is 25 years old. Currently, we have no way to measure
the effect of prolonged economic expansion and the added effect of low-unemployment pushing up
wage scales. We are at a point were the bottom of the income bracket is doing better than they
have ever done before but we are not sure how to measure what that would do to FS caseloads.
Bob and Becky are looking at this question and they are talking to outside economists about it but
they claim that this is a complicated question that makes a quick answer difficult.
So for next week we will examine: 1) the believability of the eligible (specifically legal immigrants)
data from March, 1998 CPS; and 2) what we can say or discern from changes in the wage
structure for FS eligibles and the effects of very low unemployment.
From the info. we have right now, it's possible that the same % of folks receiving FSs is staying
steady and even going up a little but that the number of those eligible is taking a big whack.
MINTHIA
FAX COVER SHEET
OFFICE OF ANALYSIS AND EVALUATION
FOOD AND CONSUMER SERVICE, USDA
(Office: 703-305-2019)
(Fax: 703-305-2576)
DATE: 3-29-99
TO:
EMC Gould
OFFICE:
PHONE #:
FAX PHONE #:
FROM: Snova CARLSON
PHONE:
# PAGES (Including cover page):
COMMENTS:
FYI
THIS was PULLISO TO60THX R LAST WOOK FUK
KEASOUS UNKORAND TO THE OFFICE TO
ORPLAIN No FSP BLOP, BUT IT HAS sumis
VALUE AS BACKGROUND
a
P.1/2
NO.134
USDA/FCS/OAE
W802:21 6661'62'860
March 30, 1999
NOTE FOR ERIC GOULD
FROM:
Steven Carlson
SUBJECT:
Food Stamp Participation Decline
FYI, I tried to implement the framework that I think we've all agreed to pursue to quantify the factors
causing the decline in food stamp participants (attached). The basic structure is as follows:
(1) Calculate the drop in participation for a particular period (March 1994 to September 1997 in the
attached table; March is selected as the peak, September as the last month for which we have
detailed characteristic information).
(2) Estimate the number of persons made ineligible by welfare reform restrictions (chiefly on
immigrants and unemployed childless adults). These figures are drawn directly from two tables in
the recently released Characteristics of Food Stamp Households: Fiscal Year 1997; they differ
somewhat from the figures sent last week since they are the observed differences in the number of
these participants between the two selected months (rather than fiscal year or quarterly
differences).
(3) Estimate the effect of the economy. This step is, I believe, poorly estimated here, but hopefully
might be improved with the work you and Bob are undertaking.
The estimate presented is derived from an internal Agency model of food stamp participation. It is
sparsely specified, consisting of measures of the number of unemployed people (not seasonally
adjusted) in the current and a lagged quarter plus a set of quarterly dummy variables. The model
is estimated from a quarterly time series dating from 1977. From the model forecast, we derived
an estimate of the effect of changes in unemployment on food stamp participation (83 participants
for every 100-person change in the number unemployed).
There are few reasons to be confident in this particular adjustment. The forecast model did not
perform particularly well during the run-up in food stamp participation during the late 1980s and
early 1990s, nor has it performed well during the more recent decline. The model is sparsely
specified, providing a meager proxy for economic changes and failing to account for significant
program changes. I've included it here only for the purpose of illustration.
(4) Net out effect of eligibility restrictions and economy, leaving an unexplained residual.
Call with questions on (703) 305-2134.
Attachment
P.2/3
NO. 161
USDA/FCS/OAE
3:44PM
MAR. 30. 1999
Preliminary Decomposition of Food Stamp Participation Change
Permanent Resident
Unemployed
All Participants
Aliens
Childless Adults
March 1994
27,965
1,501
1,320
September 1997
20,991
-6,974
547
-954
662
-658
December 1998
18,618
-9,347
n/a
n/a
n/a
n/a
# Unemployed
1994 Q1
9,209
1997 Q4
6,659
-2,550 X .83 =
-2,117
March - Sep Drop
-6,974
Immigrants
-954
0.14
ABAWDS
-658
0.09
Subtotal
Unemployment
-2,117
0.30
Unknown
-3,246
0.47
1.00
Notes:
(1) Estimates of permanent resident aliens and unemployed childless adults from
Characteristics of Food Stamp Households, Fiscal Year 1997, Tables B-1 and
B-3.
1pt
UR:
(pt
fs/
(2) Estimate of effect of unemployment on food stamp participation derived from
FNS forecast model (based on quarterly number of unemployed (seasonally
unadjusted and set of quarterly dummy variables). Model implies that a net
change of 83 participants for every 100-person change in number unemployed.
! Participation rate
of eligibles
Chepser 3
March 30, 1999
2. # g total eligibles,
and tabe up-
3. Laged effects of wage VS. UR,
P.3/3
191.19
USDA/FCS/OAE
3:44PM
1999 "0E MARK
Food and Nutrition Service
US Department of Agriculture
National Data Bank V 5.0
March-94
December-98
3/23/99
State /
FS PROGRAM
FS PROGRAM
Difference
Territory
PART ACTUAL
PART ACTUAL
Dec 98 Mar 94
ALABAMA
561,803
415,270
-146,533
ALASKA
51,692
15,680
-36,012
ARIZONA
512,288
259,935
-252,353
ARKANSAS
290,212
256,378
-33,834
CALIFORNIA
3,191,890
2,062,101
-1,129,789
COLORADO
275,765
180,083
-95,682
CONNECTICUT
225,044
183,118
-41,926
DELAWARE
61,717
42,482
-19,235
DISTRICT OF COL
$2,427
85,344
-7,083
FLORIDA
1,469,271
967,349
-501,922
GEORGIA
826,295
633,555
-192,740
GUAM
15,058
18,895
3,837
HAWAII
115,461
126,249
10,788
IDAHO
88,094
58,411
-29,683
ILLINOIS
1,207,279
840,288
-366,993
INDIANA
543,248
301,485
-241,763
IOWA
203,883
128,493
-75,390
KANSAS
197,340
113,104
-84,236
KENTUCKY
536,337
396,813
-139,524
LOUISIANA
763,280
531,415
-231,865
MAINE
141,742
109,656
-32,086
MARYLAND
399,877
295,722
-104,155
MASSACHUSETTS
451,344
274,751
-176,593
MICHIGAN
1,047,450
723,807
-323,643
MINNESOTA
323,939
207,606
-116,331
MISSISSIPPI
519,006
295,042
-223,964
MISSOURI
606,179
408,118
-198,061
MONTANA
74,280
61,069
-13,211
NEBRASKA
113,484
98,019
-15,465
NEVADA
$8,977
64,777
-34,200
NEW HAMPSHIRE
63,760
37,931
-25,829
NEW JERSEY
554,501
394,452
-160,049
NEW MEXICO
251,655
182,559
-69,096
NEW YORK
2,175,154
1,577,854
-597,300
NORTH CAROLINA
646,230
498,053
-148,177
NORTH DAKOTA
47,459
33,654
-13,805
OHIO
1,269,050
661,747
-607,303
OKLAHOMA
382,926
280,798
-102,128
OREGON
298,653
224,513
-74,140
PENNSYLVANIA
1,243,533
842,332
-401,201
RHODE ISLAND
96,336
76,913
-19,423
SOUTH CAROLINA
390,940
320,011
-70,929
SOUTH DAKOTA
55,200
43,529
-11,671
TENNESSEE
747,371
520,315
-227,056
TEXAS
2,764,395
1,460,671
-1,303,724
UTAH
131,124
90,222
-40,902
VERMONT
65,475
44,953
-20,522
VIRGINIA
571,254
370,069
-201,185
VIRGIN ISLANDS
19,632
17,062
-2,570
WASHINGTON
483,004
326,240
-156,764
WEST VIRGINIA
333,260
250,995
-82,265
WISCONSIN
334,900
183,752
-151,148
WYOMING
34,698
24,037
-10,661
United States
27,965,172
18,617,677
-9,347,495
2/2'd
NO.134
USDA/FCS/OAE
W802:21 6661.62.86W
CFA
Sheet1
Number of Participants
Unemployed
Permanent
Childless Adult
Participants
Resident Aliens
(ABAWDS)
Mar-94
27,965
1,501
1,320
Sep-97
20,991
547
662
Dec-98
18,618
n/a
n/a
Change from 3/94 to 9/97
Participants: 3/97
27965
C17
(1) Drop due to Aliens
-954
C18
(2) Drop due to ABAWDS
-658
C19
(3) Drop due to economy
-2530
(1)-(3)
-4142
Actual decline
-6974
% of change explained by:
Aliens
13.7%
ABAWDS
9.4%
Economic conditions
36.3%
All other factors
40.6%
Other potential factors:
1. Reform of AFDC in 1996
(C17+C18+C19) (65-4.9)*(0.06)
Page 1
J. Eric Gould
03/31/99 02:30:47 PM
Record Type:
Record
To:
Cynthia A. Rice/OPD/EOP
CC:
Subject: Food Stamp Caseloads
Our research group is making a little headway. Unfortunately, 40-45 percent of the caseload
reduction can not be explained through any modeling techniques available. A problem is that we
can't just attribute it to "whatever welfare reform, be it good or bad, is doing" to the caseload.
There are unknown possible economic effects that could have significant influence but we are not
sure. These effects caused by "great prolonged economic conditions" are hotly debated in
economic circles right now and also at CEA. Becky is one of the leading proponents of the theory
that prolonged economic success creates affects among low-income individuals that we are not yet
able to measure. For example, the standard economic model to predict FS caseloads is the
unemployment rate (for every 1% increase in unempl. the FS caseload is supposed to increase 6%)
but in a tight labor market the unemplo. rate has gone so low that wages get pushed up and have a
different but powerful effect on FS caseloads. We are also looking at the changes in the income
levels of all FS eligibles (below 130% poverty) - which should be going up meaning more people
might be eligible for less benefit. We are also looking at the decline in the total amount of eligibles
over time (the group of below 130% is getting smaller).
We are trying to make USDA get updated numbers on the participation rate of eligibles, armed with
that and the total number of eligibles we can work out take-up rates and compare them over time.
J. Eric Gould
03/26/99 06:27:28 PM
Record Type:
Record
To:
Cynthia A. Rice/OPD/EOP
CC:
Subject: Food Stamp Chart
I had a long conversation with USDA about the chart (Table 2) you and I discussed this morning.
The chart reviews data on single parent households by presence of earnings and welfare receipt
between 1994-1997. From my conversation with USDA I gathered:
1. The number of single parent households receiving TANF fell, which is consistent with overall
declines in welfare caseloads.
2. The number of single parent households not receiving TANF increased modestly, which is
consistent with the notion that as folks leave welfare, some continue to receive food stamps as
NPA cases.
3. The number of single parent households not receiving TANF who have earnings increased
slightly, which is consistent with recent efforts to move single parent families off of welfare and
into work.
Conclusions from the data:
1. The data show that some households appear to leave welfare and food stamps completely. We
expect that some had higher earnings. However, the data does not provide any information about
these households.
2. Others find work and leave welfare, but continue to combine work with food stamps as a
nutritional supplement, which is how the Program is supposed to work.
One thing to keep in mind is that these numbers represent people who continue participation and
people who come on to the program. For example, when the data reflects a single mom with
earnings and no TANF, we don't know if she got TANF and food stamps before and is now a food
stamp only recipient, or is she never got TANF and came to the State agency as an NPA household.
This means that when the chart shows an increase in single parents with earnings and no TANF,
we don't know how many of them worked their way off of TANF. Similarly, when there is no
TANF and no earnings, these could be people who were kicked off TANF or who never received it
in the first place.
What is Causing Caseload Reductions in the Food Stamp Program ?
3/10
In November 1998, the Food Stamp Program served 18.6 million people. The number of people
receiving food stamps fell by over 9 million people, a drop of one third, since March 1994. Part
of this drop is due to the strength of the economy and the success of welfare reform. Part of the
drop is due to new restrictions on the participation of certain legal immigrants and able-bodied
unemployed adults without dependents.
However, other factors may also be at work. Between 1995 and 1997, Food Stamp Program
participation fell five times as fast as poverty, suggesting that many poor families have left the
program despite their continuing eligibility. While the program is available to households with
gross incomes of up to 130 percent of poverty, 91 percent of program participants have income
below the poverty level.
There are three important factors that must be considered in addressing the reasons for the sharp
decline in Food Stamp participation since 1994: 1) specific Food Stamp eligibility changes in
PRWORA; 2) broader PRWORA changes requiring work and discouraging dependence on cash
assistance; and 3) a strong economy. The relation of these three factors is a topic of continuing
research but preliminary information shows that economic factors can not fully explain recent
caseload declines and further research is needed to look more closely at behavioral changes in
take-up as well as state-specific changes in eligibility.
How ave these different
-97?
1. Who is Leaving the Food Stamp Program?
Subgroup
Participants
Participants
Participation
Percent
Subgroup as
Subgroup as
Percent of Decli
in 1994
in 1997
Change 1994-
Change in
Percent of
Percent of
from Subgroup
(thousands)
(thousands)
1997
Participation
1994
1997 caseload
1994-1997
(thousands)
caseload
Legal
1,537
706
-831
-54%
6%
3.4%
14%
Permanent
Resident Aliens
Childless
1,148
648
-500
-43.5%
4%
3.1%
8.4%
bet
Unemployed
Adults
AFDC/TANF
13,052
9,442
-3,610
-27.6%
48%
43%
60.8%
Recipients
All Other
11,697
10,707
-990
-8.5%
43%
49%
16.7%
Participants
Total
27,434
21,503
-5,931
-21.6%
100%
100%
100%
Participants
July-September Food Stamp Program Quality Control Data for 1994 and 1997
Narrow columns 50thenal FH
The above chart shows that while there were large reductions within the legal immigrant and
enpoye
childless unemployed adult populations, their combined effect only contributes to less than a
quarter of the entire food stamp caseload reductions. It must also be noted that the above
percentage changes also reflect economic influences. Therefore, even without policy changes the
subgroups would still have reflected decreased caseloads.
The bulk of the caseload changes comes from AFDC/TANF recipients, who make up
approximately 43 percent of the Food Stamp caseload. Between 1994-1997, this group
experienced a 27 percent decrease in participation, which resulted in 60 percent of the entire
caseload reduction between 1994-1997.
The group identified as "All Other Participants" consists of working poor, aged poor and disabled
poor. This group is the second largest segment of the Food Stamp population, making up 43
percent of the entire caseload in 1997.
(alth
immigo most
Feable
2. How are specific changes in PRWORA affecting the Food Stamp Program?
Pium (Lb/
At least 20 percent of the decline between 1994-1997 came from two subgroups directly affected
by PRWORA. Participation of legal immigrants declined 54 percent between 1994-1997 and
reflected 14 percent of the entire caseload's decline. Changes in BBA and last year's Agricultural
Research Act will may have án affect on these numbers as certain groups of legal immigrants become
eligible for Food Stamps. The group of childless unemployed adults without dependents made up
8.5 percent of the decline in the entire Food Stamp caseload, as the subgroup registered a 44
percent decline between 1994-1997.
Remind people of policy eg, 18to sos only
eligible for smonths of wratthnu unless working
Adding the percentage caseload declines from these two subgroups suggests that 22.5 percent of 220hpm
the entire caseload reductions between 1994-1997 were attributable to changes in eligibility for
these populations. However, economic factors also have to be taken into consideration. Experts'
estimates of the economy's impact on the Food Stamp caseload during this period varies between
25-45 percent. Taking into consideration economic forces, the direct impact of PRWORA on
these two groups and their relation to their total impact on Food Stamp caseload declines has been
estimated to be approximately 10 percent.
3. What affect do the broader changes in PRWORA have on Food Stamp caseload
changes?
Regardless of the impact that specific policy changes in PRWORA have had on Food Stamp
caseloads, the bulk of the decline between 1994 and 1997 came from AFDC/TANF recipients,
who as a group attribute for 60 percent of the decline The number of AFDC/TANF recipients has
fallen by over 1-million since 199 and the vast majority of the AFDC/TANF recipients were
also receiving Food Stamps Historifally The Food Stamp Program has been closely coordinated in local
offices with cash assistance programs.nd this can dramatically affect the household' assessment
of the costs and benefits of participation.
chrifort, individuals receiving cash ass stance nave always
been fai more likely to recewe Food Stamps tram other
eligible endi ideals
PERCENTAGE OF
are are these they all non-earners!
PARTICIPATION OF FOOD STAMP ELIGIBLE
INDIVIDUALSUN THE FOOD STAMP PROGRAM
Household with earnings
45.8%
Add you Identy in get fn stat non-
Households with children
85.8%
Single parents with children
96.8%
what of earners is rate not on AFDC?
Households with earnings and children
55.2%
Single parents with earnings/children
59%
1994, SIPP
public arrythnce
These numbers indicate that families with a single adult, who were receiving are almost
certain to participate, while households with earnings have a participation rate under 50 percent.
At some level, the presence of children has a positive influence on participation even among the
subset that works and being a single parent raises the likelihood of participation further.
As the TANF roles decrease and individuals continue.to obtain more earnings, these numbers
indicate that they are less likely to retain their Food Stamps even though they are eligible.
Although participation rates among single parents and their children have been historically high,
the recent declines in TANF caseloads suggest they might fall in the future. For example, in
Indiana, the state's welfare reforms have reduced Food Stamp participation without a
corresponding reduction in the number of potentially-eligible families. In short, some families
that leave or avoid TANF and remain in poverty fail to apply for Food Stamp benefits.
Knowing that the number of households with earning is increasing and that they are less likely to
retain their Food Stamps, even though they may still be eligible, an important issue is the
relationship between the percentage of working eligibles who obtain Food Stamps as compared to
the present percentage. The trend has been that an increasing amount of Food Stamp participating
households have some earnings. From 1994-1997 almost three percent more participating
households reported earnings.
But M people are 60 likely toget FS orce they have
earnings, wfat los this mem?
PERCENTAGE OF FOOD STAMP PARTICIPATING HOUSEHOLDS WITH EARNINGS
1992
20.2%
would be more
useful to
1993
20.6%
compane
I
Aolto This to include all leavers
1994
21.4%
FS
studies (surveys
guilat
1995
21.4%
eligibles
% of resports leasing To all
1996
22.5%
go FST Medicaed) see
1997
24.2%
deveropm s> 19
email from Andria
1997 USDA Food Stamp Quality Control Samples
Do some calcula tions based
on these data and the leavers studies 2. whechshow bet 50-60% of those leaving
the rolls go to work i.e., if bet 28-45 90 left due to economy, courlte
rest of the decline from 194- 197 be attributable to foid that
55% of Those who left are now only talf as likely to get FS
forwhechtley we elear!?
4. What factors contribute to nonparticipation?
USDA has studied the reasons for nonparticipation and identified three common factors that are
likely to apply:
Insufficient or incorrect information about the program. Working-poor families with
children often do not know about their eligibility for Food Stamps given that many such
families are not eligible for cash assistance. Lack of accurate program information is also
prevalent among illiterate and non-English speaking individuals.
toget
to
office
Problems of Program access and administrative Influialty difficulties with the application, during
rabdtothis
working
open
hours/
process. Historically, participation rates are often lower among rural and elderly
incentives
error
populations because of physical access and transportation barriers. However, recent
rates), for
reports, similar to the illegal NYC access situation, have created questions whether wide- states than
spread diversion or discouragement of Food Stamp participation is taking place on a
these fam
broader level.
Give an ex= some one w/ su/hr
Small size of the benefit or lack of desire for benefits. As an individual's or
106 t 2 cheldren is eleaptle forxx FS in
household's income rises the potential Food Stamp benefit declines. At some point,
program eligibles decide the small amount of the benefit is worth less than the cost of
applying. Other people forgo benefits regardless of the amount because of personal
objections to income transfer programs and / or the stigma associated with receiving or
using Food Stamps. The increasing use of EBT could decrease this stigma in the future as
the transaction will be similar to credit card use.
5. How does the decline in AFDC/TANF participation compare to declines in food stamp
participation?
Make this
CHANGE IN WELFARE / FOOD STAMP CASELOADS SINCE ENACTMENT OF PRWORA
Change in AFDC/TANF
Percent Change in
Change in Food Stamp
Percent Change
AFDC/TANF
#2
Participation
Participation
in Food Stamps
Aug. 96 - Sep. 98
Aug. 96 - Sep. 98
Aug. 96 - Sep. 98
Aug. 96 - Sep. 98
4,286,000
-35%
6,229,107
-25%
Comparing data between 1980 through 1998, Food Stamp caseloads are usually about twice as
high as AFDC/TANF caseloads. This reflects the broader eligibility rules for Food Stamps.
AFDC caseloads which were largely flat from the mid-1970s through 1990 rose 27 percent
between 1990 and 1994. But, between 1994 and mid-1998 they fell by 40 percent. In
September, 1998, they were at their lowest since 1969.
Food stamp caseloads follow a similar trend. Participation peaked at 22 million during the 1983
recession and then fell steadily with a stronger economy until 1988. From 1988 to 1994,
participation increased by 9.5 million, a 52 percent increase. From 1994 to February 1998,
Let's discus what best compromounsibe
-1994-1997 ?
1996-1997?
96-98?
Food Stamp participation fell by 7.8 million, a 28 percent decrease.
6. Is the economy operating through the strong labor market responsible for the decline?
The relationship between the economy and Food Stamp participation has been fairly strong over
the last twenty years. Even when forecasters have not been able to predict AFDC caseloads
accurately on the basis on economic factors, there are still corresponding patterns of rise and fall
in unemployment and the Food Stamp caseload. But even though economic factors are
important, they are not the entire story. There have been periods where Food Stamp caseload
trends varied significantly from unemployment rates.
The unemployment rate has fallen from 6.6 percent in 1994 to 4.4 percent in 1999. Previously
developed models of the relationship between the economy and Food Stamp participation
indicate that economic trends since 1994 could account for anywhere from 28 to 45 percent of
the change in Food Stamp participation. With the caseload declining by almost eight million
individuals since 1994, this 17 percent difference (difference between 45 percent and 28
percent) is significant in understanding what happened to approximately 1.4 million individuals.
Recent research done by Rebecca Blank suggests that a one-point rise in the unemployment rate
will produce a 6 percent increase in the food stamp caseload over a three year period. This
might be an understatement if a lack of TANF-funded assistance produces greater need among
low-income families in the future. On the other hand, it may be an overestimation if smaller
numbers of people in TANF-funded programs mean that fewer families are aware of their food
stamp eligibility and take-up rates fall. Still, economic data that takes into consideration
unemployment and median wages, can only account for 40 percent of the caseload changes that
have taken place between 1994 and 1998.
F52
What are we doing about this?
We will continue to monitor caseload trends and keep you informed. Moreover, there are
important questions we need to further examine with the assistance of USDA and CEA.
If the sharp decline in Food Stamp participation can not be fully explained through
economic forces, what relationship does the decreasing TANF caseload have on it and
can we expect both caseloads to continue to decline?
How much influence do the common factors of non-participation have on program
eligibles and how can we address these specific factors?
What can we do through Administrative action to address this situation?
on
the work departmy
What is Causing Caseload Reductions in the Food Stamp Program (ESP)?
Food stamp digfility
There are three important factors Sta that must be considered in addressing the plausible reasons for
the sharp decline in FST participation since 1994: 1) specific FOP changes in PRWORA; 2)
broader PRWORA changes to the cash system; and 3) a strong economy. The relation of these
three factors is a topic of continuing research and debate. This memo addresses current easeload
trends and research
but proliminary mathon shows
1. Who is Leaving the Food Stamp Program?
1994 1997
Subgroup
Participants in
Participants
Participation
Percent Change
Subgroup
Percent of Decline
1994
in 1997
Change 1994-
in Participation
as Percent
from Subgroup
(thousands)
(thousands)
(thousands) 1997
associal
caselord of 1997
Legal
1,537
706
-831-
-54%
3.4%
14%
Permanent
6.0%
Resident Aliens
Childless
1,148
648
-500
-43.5%
3.1%
8.4%
Unemployed
4.0%
Adults aye18.50
AFDC/TANF
13,052
9,442
-3,610
-27.6%
48%
43%
60.8%
Recipients
All Other
11,697
10,707
-990
-8.5%
43%
49%
16.7%
Participants
how
Total
27,434
21,503
-5,931
21.6%
100%
100%
100%
manyol
Participants
These
July-September Food Stamp Program Quality Control Data for 1994 and 1997
towmany work
2. How does the decline in AFDC/TANF participation compare to declines in food stamp
participation?
update
&
Decline in AFDC/TANF
Percent Changen AFOC/TAIN
Decline in Food Stamp
Percent Change intiod Stamps
Sept
"
chu
Cha nge
Participation
1998
March 1994 to June 1998
Participation
March 1994 to June 1998
March 1994 - June 1994
March 1994 - June 1998
-5,957,854
-41.8%
-8,953,651
-31.4%
Comparing data between 1980 through 1998, food stamp caseloads are usually about twice as
high as AFDC/TANF caseloads. This reflects the broader eligibility rules in the FSP AFDC
caseloads which were largely flat from the mid-1970s through 1990 rose 27 percent between
1990 and 1994. But, between 1994 and mid-1998 they fell by 40 percent. In June, 1998, they
were at their lowest since 1969
Spt
Food stamp caseloads follow a similar trend. They decline slightly faster than AFDC caseloads
what are As?
her about a araph !
your but
noclat above
?
PRWORA
gote
need
#
in the mid-1990s, in part because ofPRWORA Still, the rapidity of these hanges is
unprecedented and hard to explain.
with Bortne
Food stamp elizablety
Food stump
gulat
3. Did the 1996 FSP changes in PRWORA contribute to the decline in FSP participation?
0\0
stamp
other
These changes imposed a strict time limit on able-bodied adults without dependents. They made
X
most legal aliens ineligible for the ESP (even though much of these cuts have been restored),
"D'
slightly reduced the value of the maximum benefit, and limited certain deductions. With little
hard data available, there is no way to know for sure what affect these changes actually have had
on FSP participation. Some experts agree that these changes would have affected easeloads no
more than 10 percent (Beebout, Mathematica 1998).
Think This
Dostino mean 109. of dertne
bowe Johnny the
Throughanges
would
study is good
4. How do the non-FSP changes in PRWORA relate to FSP participation?
through
# appeople
reversity
The number of AFDC/TANF recipients has fallen by over 4 million since 1994, and the vast
banfts.
majority of the AFDC/TANF recipients were also receiving food(stamps. However, some
substantial portion of that decline was also caused by the strong economy, and there is little
agreement among researchers about how much of the shrinking caseload resulted from welfare
how
reform and how much resulted from the economy. Whatever the cause, the reduction in the
AFDC/TANF rolls is associated with about half the decline in FSP participation.
?? Jowe Vor
5. Is the economy operating through the strong labor market truly responsible for the
This
decline?
From 1994 to February 1998, FSP participation fell by 7.8 million, a 28 percent decrease. In
comparison the number of unemployed persons fell by 3.6 million during this period, and the
unemployment rate fell from 7.8 to 4.6 percent of the labor force. Previously developed models
of the relationship between the economy and FSP participation indicate that economic trends
since 1994 could account for anywhere from 28 to 45 of the decline in participation percent
(Blank, CEA 1998; Beebout 1998; Hamilton, Abt Associates 1998).
meaning
AFDC
The relationship between the economy and FSP caseload has been fairly strong over the last 20
years. Even when forecasters have not been able to predict caseloads accurately on the basis on
economic factors, there are still corresponding patterns of rise and fall in unemployment and the
FSP caseload. However, although economic factors are important, they are not the entire story.
There have been periods where FSP caseload trends took off from unemployment rates. ??
-
Simply explained, there are other broader factors that help explain how many people participate
in the FSP: the size and composition of the population and the eligibility rules in place interact
with economic factors.
6 Still, what do economic models tell us about the future of food stamp participation
rates?
Recent research done by Rebecca Blank (CEA) suggests that a one-point rise in the
unemployment rate will produce a 6 percent increase in the food stamp caseload over a three year
period. This might be an understatement if a lack of TANF-funded assistance produces greater
need among low-income families in the future. On the other hand, it may be an overestimation if
smaller numbers of people in TANF-funded programs mean that fewer families are aware of
their food stamp eligibility and take-up rates fall.
Instead
7. What "links" exist between food stamps and TANF participation?
Participation in AFDC/TANF plays a special role in food stamp participation patterns. The FSP
90 wk.
has been closely coordinated in local offices with cash assistance programs. This can
dramatically affect the household's assessment of the costs and benefits of participation.
dezplar
Participating in both programs has only marginally higher costs than participating in one, and as
obtains
a result, FSP participation is strongly associated with cash assistance participation. The vast
(and
majority of single-parent households who receive cash assistance also receive food stamps, but
currently
food stamp participation is much less common among single-parent households who do not
receive cash assistance even when households are grouped by income levels. The result is that,
what
for a substantial part of the food stamp caseload, food stamp participation closely parallels
to
1846
AFDC/TANF participation. Therefore, recent reports that some states are diverting, delaying
and terminating individuals from TANF, and sometimes food stamps, in violation of federal law
puthis
is potentially a critical issue in terms of better understanding participation rates.
aspant
Somewhat surprisingly, even though more than half of all food stamp cases do not receive cash
of
assistance, the national food stamp caseload has closely tracked the national AFDC/TANF
caseload since the early 1980s. This may mean that, beyond the administrative linkage, both
Q+A
programs are influenced by some underlying pattern in households' assessments of the costs and
benefits of participation. This might reflect economic factors, such as perceptions about job
opportunities, or non-economic factors.
8. What conclusions can be drawn from all of this?
Although it is clear that many factors are clearly correlated with food stamp caseload changes,
they do not explain the recent trends well. The uncertainty over the causes of recent powerful
declines in the caseload are leaving most economists scratching their heads and causing other
researchers to look more closely at behavioral changes in take-up as well as state specific
eligibility changes that might be influencing these changes. Some economists (Blank and
Beebout) and experts (Greenstein) believe that recipients are strongly influenced by a host of
less-measurable factors (including their own sense of the "accessibility" of utilizing public
assistance) when deciding whether or not to participate in the FSP.
3/4/99
SUMMARY OF RECENT RESEARCH
ON WELFARE LEAVERS
Study:
Percent of Leavers
Percent of Leavers
Receiving Food Stamps
Receiving Medicaid
Delaware - 1/98
65%
75%
Indiana - 1997
38%
53%
11/98
52% (after Year 1)
66% offered health insurance by
40% (after Year 2)
employer, but 50% declined for
various reasons including cost
(5% declined because of
Medicaid coverage)
Iowa - 1993-5
66%
66%
1999
59%
South Carolina - 1997
66%
75%
-
10/98
52% of adults had health
insurance (40% of the total
had medicaid and 12% had
private insurance);
91% of the kids had health
insurance (80% medicaid and
11% private)
Washington - 1/99
45%
44% (Adults)
64% (Kids)
Wisconsin - 1/99
49%
87%
A2
SUNDAY. MARCH 7. 1999
S
NATIONAL NEWS
THE WASHINGTON
Drop in Food Stamp Rolls Is Worrying Officials
A Sharp Decline
By JUDITH HAVEMANN
mittee, said the declines are "quite
The welfare application process
food stamp usage has been pro-
called for a review of the rules that
The number of people who
Washington Post Staff Writer
mysterious" and need to be investi-
traditionally has been the main en-
pelled by a booming economy and
govern food stamp and Medicaid eli-
receive food stamps fell from a
gated because they "far exceed ex-
try point for food and medical assis-
changes in the law that have made
gibility, while Rep. Robert W. Goo-
high of 27.5 million in 1994 to
Advocates for the poor and some
pectations." Johnson said that the
tance, as well as cash. Since the 1996
about 700,000 legal immigrants inel-
dlatte (R-Va.), chairman of the Agri-
19.8 million last year.
members of Congress are alarmed
availability of health care benefits is
welfare reform law was passed,
igible. The rest of the drop, they say,
culture subcommittee that oversees
by a steep drop in the number of
"core" to whether welfare reform
some states have been "diverting"
is a result of states discouraging po-
food stamps, said he would favor ef-
Number of recipients, in millions
Americans receiving food stamp as-
succeeds and that it is unclear
poor families from welfare
tential applicants, intentionally or
forts to turn over the food stamp
30
sistance and have begun pressing
whether states are doing enough to
inadvertently, because workers are
program to the states in the same
for changes to ensure that poor fami-
inform poor families of their eligibil-
The decline in
so focused on moving them into
manner as welfare if there is broad
28
lies have enough to eat.
ity for assistance. She plans to hold
jobs.
support for such a move.
Nearly 8 million Americans have
hearings to draw attention to the
Moreover, welfare reform has
Douglas Besharov, a senior fellow
left the food stamp rolls during the
problem.
food stamp usage
26
stigmatized all forms of aid, they
at the American Enterprise Insti-
four years, a 28 percent reduc-
State welfare officials, mean-
say, making many poor families re-
tute, said the decline in Medicaid
24
tion that is far greater than the de-
while, will converge on Washington
and food stamp rolls is not fully un-
1994:
today to ask Congress to abolish
suggests a lot of
luctant to apply for government help
cline in poverty for roughly the same
of any kind. Some Americans are
derstood. But he said some of it rep-
27.5 million
22
period, according to new federal fig-
rules that they say are an obstacle to
simply unaware that they are poor
ures.
poor families left
resents a common-sense decision by
getting food stamps and are in-
enough to qualify for food stamps if
recipients who don't want to miss a
20
Agriculture Secretary Dan Glick-
compatible with welfare reform. For
they earn less than $1,783 a month
day of work every six months to visit
1991:
man said that suggests "that a lot of
example, they say, it is absurd that a
the program even
to support a family of four. Also,
welfare offices to qualify for a small
22.6 million
18
poor families left the program even
low-income family with a car valued
many former welfare recipients are
allotment of food stamps. Moreover,
though the need was still there."
above $4,650 is almost automatical-
not told they are entitled to at least
though the need
because poor people can sign up for
six months of Medicaid benefits to
16
1998: 19.8 million
The combination of plummeting
ly ineligible for food stamps when
Medicaid when they visit an emer-
food stamp rolls and a similar, but
some state welfare agencies are
help them make the transition to
gency room, they are less inclined to
smaller decline in the number of
helping welfare families obtain cars
was still there."
work, these advocates say.
14
go through the sign-up process
people in Medicaid, the health insur-
to get to work.
Kinder, gentler' is a thing of the
when they are not in immediate
ance program for the poor, has fu-
The state officials, members of
-Dan Glickman,
past," said Rep. Fortney "Pete"
need of care.
0
eled concerns among advocates for
the American Public Human Servic-
secretary of agriculture
Stark (D-Calif.). "Some states
"There is no evidence of a signif-
1991
'92
'93
'94
'95
'96
'97
'98
the poor that the 1996 federal wel-
es Association, also will urge the Ag-
have been illegally telling people
icant increase in the level of hard-
SOURCE: Agriculture Department
fare reform law may be discouraging
riculture Department to reduce
by making them search for jobs or
they are no longer qualified."
ship the poor are facing, and evi-
THE WASHINGTON
some families from seeking needed
some of the program's red tape, in-
giving them a onetime payment to
Second Harvest, which operates
dence, in fact, that the condition of
aid. Private food pantries and chari-
cluding requirements that states
tide them over. Food advocacy
the largest network of food banks in
the poor has improved," Besharov
ures are available.
table organizations have reported
continually summon recipients to
groups say that welfare rules have al-
the country, said that demand is up,
said.
The Medicaid rolls fell from 41.4
an increased demand for food assis-
county welfare offices to recertify
so "diverted" families from the food
particularly among families, but said
Food stamp usage fell from 27.5
million to 40.3 million during the
tance.
their eligibility.
stamps and medical insurance that
it was unable to compare the 26 mil-
million in 1994 to 19.8 million last
same period, even as federal and
Rep. Nancy L. Johnson (R-
But advocates for the poor charge
the families need more than ever.
lion people who sought help during
year, while those living in poverty
state health officials beat the bushes
Conn.), chairman of the Ways and
that the real problem may be the
The groups cite studies showing
1997 with earlier years.
fell from 38.1 million to 36.6 million
to extend health insurance, to the
Means human resources subcom-
states themselves.
that only about half of the decline in
Rep. Robert T. Matsui (D-Calif.)
in 1997, the last year for which fig-
many qualified uninsured families.
APHSA
American Public Human Services Association
Marva Livingston Hammons, President
William Waldman, Executive Director
March 2, 1999
Cynthia Rice
Special Assistant to the President, Domestic Policy Council
1600 Pennsylvania Ave, NW
212R OEOB
Washington, DC 20500
Dear Ms. Rice:
The American Public Human Services Association (APHSA) invites you to come hear
the Commissioners of three state human services agencies offer their perspectives on
"Food Stamps, TANF and the Working Poor." The forum will be held on Tuesday,
March 9, 1999 from 1:30 to 3:00 p.m. in the Senate Agriculture, Nutrition and Forestry
Committee Room in 328A of the Russell Senate Building.
Please see the attached brochure for more information. If you have any questions
regarding this forum, please call Anna Lovejoy at APHSA, 202-682-0100. We look
forward to your attendance at this important policy discussion.
APHSA nonprofit, bi-partisan organization of individuals and agencies concerned with
human services. Our mission is to develop, promote, and implement public human
service policies that improve the health and well-being of families, children, and adults.
Sincerely,
Williuab
William A. Waldman
Executive Director
Representing Public Human Services Since 1930
810 First Street, NE, Suite 500, Washington, DC 20002-4267
(202) 682-0100
fax: (202) 289-6555
http://www.aphsa.org
Why the Food Stamp Program No Longer
Meets the Needs of the Working Poor
The strict regulations governing the
Food Stamp Program. These two separate
The Food Stamp Program also requires
administration of the federal Food Stamp
agencies periodically promulgate inconsistent
families to report normally every three months
Program pose serious obstacles to states'
policies that increase the cost of administering
for in-person interviews, immediately
strategies to reduce dependence on welfare,
the Food Stamp Program and impede state
pass along nearly every variation in their
increase the employment of Temporary
welfare reform innovations. This was true under
wages, and have their employers fill out a
Assistance for Needy Families (TANF) clients,
AFDC and, unfortunately, is increasingly the
steady stream of paperwork verifying
and meet the needs of the working poor. The
case under TANF.
their work status. These requirements are due
clash between the TANF and Food Stamp
to the historical focus on total and predictable
programs is costly and complex. State
Examples of Program Conflicts
accuracy of payment levels, whereby
administrators see the conflicts of the two
individuals and states are both held
programs on a daily basis because the TANF
For example, under the state TANF programs,
responsible for "errors" and face penalties for
and Food Stamp programs are often
clients are receiving assistance to purchase or
inaccurate wage reporting. But the nature of
administered by the same human service
repair cars to get to work. However, under the
the entry-level job market is that fluctuations
agency charged with moving welfare clients
Food Stamp Program rules, if a recipient owns a
are frequent, and many jobs do not last very
off assistance and into employment. This is
car worth more than $4,650, the client is ineligible
long. Moreover, as states become more
not the case at the federal level where the U.S.
for food stamps. Similarly, many states have
effective in moving TANF clients into jobs,
Department of Health and Human Services
increased income and asset disregards
they run the risk of increasing "errors" due to
oversees the TANF block grant and the U.S.
and established individual development accounts
the uncertainty of the entry-level job market.
Department of Agriculture administers the
for TANF clients. These assets may make families
While all state administrators hold the
ineligible for food stamps.
efficient and effective administration of food
stamps as a goal, adjustments are needed to
help support those food stamp clients who are
making this effort, rather than burden them
FOOD COUPON
and penalize states.
This forum will present the states' ideas for a
more flexible and innovative approach to
serving working families in the Food Stamp
Program. State human service agency
commissioners will share their experiences in
facing these policy challenges and will offer
their thoughts on what policy changes might
help them serve families better.
Food Stamps, TANF, and the
Founded in 1930, the American Public
Working Poor
Human Services Association (APHSA) is a
Food Stamps,
nonprofit, bipartisan organization of state
Tuesday, March 9, 1999
and local agencies concerned with human
TANF, and the
1:30-3:00 p.m.
services. Members include all state and
328A Russell Senate Building
many territorial human service agencies,
Working Poor
more than 800 local agencies, and several
Welcome and Introductions
thousand individuals who work in or
otherwise have an interest in human
William Waldman, Executive Director,
APHSA
service programs. APHSA, which recently
changed its name from the American Public
Panel Discussion of State
Welfare Association, serves as a conduit
State human service commissioners call
Commissioners
between members of Congress, the media,
for changes in the Food Stamp Program
and the broader public on what is
Gary K. Weeks, Director, Oregon
to meet the needs of the working poor.
happening in the states and localities
Department of Human Resources
Hill staff will have an opportunity to
concerning welfare, child welfare, health
question the panelists and hear state
Clarence Carter, Commissioner,
care reform, and other issues involving
perspectives.
Virginia Department of Social Services
families, children, and the elderly.
Lynda Fox, Secretary, Maryland
Department of Human Resources
The mission of APHSA is to develop, promote,
and implement public human service policies
Questions from Congressional
that improve the health and well-being of
Staff Panel
families, children, and adults.
Mike Ruffner, Majority Professional
FOOD COUPON
Staff Member, Senate Agriculture, Nutri-
tion and Forestry, Subcommittee on
Research, Nutrition, and General Legisla-
tion
Mark Halverson, Minority Chief Coun-
cil, Senate Agriculture, Nutrition and
For media inquiries, contact
Forestry Committee
Amy Tucci, Communications
Kevin Kramp, Majority Staff Director,
Director, at (202) 682-0100,
Sponsored by the
House Agriculture Subcommittee on
ext. 288, or e-mail to
American Public Human
Department Operations, Nutrition and
[email protected]
Foreign Agriculture
Services Association
Kimberly Barnes O'Connor, Children's
810 First Street, NE Suite 500
Policy Director, Senate Health, Education,
Washington, DC 20002-4267
Tuesday, March 9, 1999
Labor and Pensions Committee
(202) 682-0100
1:30 p.m. to 3:00 p.m.
Debbie Banks, Senior Policy Advisor,
fax: (202) 289-6555
328A Russell Senate
Rep. Robert T. Matsui, (D-Calif.)
http://www.aphsa.org
Office Building
Who is Leaving the Food Stamp Program?
Subgroup
Participants
Participants
Participation
Percent
Subgroup as
Subgroup as
Percent of
in 1994
in 1997
Change 1994-
Change in
Percent of
Percent of
Decline
(thousands)
(thousands)
1997
Partici-
1994 caseload
1997 caseload
from
(thousands)
pation
Subgroup
1994-1997
Legal
1,537
706
-831
-54%
6%
3.4%
14%
Permanent
Resident Aliens
Childless
1,148
648
-500
-43.5%
4%
3.1%
8.4%
Unemployed
Adults
AFDC/TANF
13,052
9,442
-3,610
-27.6%
48%
43%
60.8%
Recipients
All Other
11,697
10,707
-990
-8.5%
43%
49%
16.7%
Participants
Total
27,434
21,503
-5,931
-21.6%
100%
100%
100%
Participants
July-September Food Stamp Program Quality Control Data for 1994 and 1997
drugs and their implications for
whether the United States is serious
to other federal entitlement pro-
Medicaid. Dr. Garth L. Splinter of the
about providing health care to unin-
grams. She points out some new and
Oklahoma Health Care Authority
sured children in immigrant families.
unanticipated challenges for program
shares his views on Viagra and the
She calls our attention to the current
administrators.
dilemmas Medicaid directors face
conflict between public health and
I hope you'll find this issue inter-
when dealing with quality-of-life
immigration policy, and she points
esting. Our goal is for POLICY &
drugs. He offers much food for
out its impact on children's health.
PRACTICE to be a useful resource for
thought as he attempts to answer:
In our "View from the Nation's
you in your daily work. I'm open to
How do we determine what Medicaid
Capital," Elaine M. Ryan, our govern-
your suggestions and comments, so
should and should not cover?
ment affairs director at APHSA, looks
don't hesitate to contact me.
Claudia Schlosberg of the National
at the Temporary Assistance for
Best wishes for a happy and safe
Health Law Program questions
Needy Families program and its link
holiday season and new year.
Travel without good planning,
and you're bound
to get lost.
However far you wander.
tive rates. If you're less than
Term Lite
you need an insurance plan
enchanted with your current
Member Assistance
that stays in place. Pick one
insurance carrier. call us at
High Limit Accident
up from APHSA and you're
800 424-9883. or in Wash-
covered wherever you go.
ington, DC at 202 457-6820
As long as you're " member,
We promise you'll never get
we'll help you find your way
" crumby deal. And you'll
to the best of plans, and
never have to go into the
always at the most competi-
woods alone.
INSURANCE FOR APHSA MEMBERS
This plan is administered by Scabury & Smith, a Marsh & McLennan Company.
The term life plan is underwritten by the New York Life Insurance Company.
APHSA
51 Madison Avenue, New York, NY 10010. on Policy Form GMR
DECEMBER 1991
View from Nation's
the
Capital
Parcy
Practice
Jamue
12/98
The Unfinished
Agenda:
Two Years after TANF
or more than six decades, the
connections. Today, we know that
gies also provide families with
F
Aid to Families with Dependent
those intricate interconnections that
short-term, lump-sum assistance
Children (AFDC) program was the
once worked well (in a system the
aimed at reducing dependence on
entryway poor
nation grew to despise) now
welfare. More states are granting a
families walked
threaten the long-term success
mix of cash, benefits, and services
through to gain
of welfare reform.
tailored to meet the individual
by Elaine M. Ryan
access to a con-
Welfare reform marked the end of
needs and circumstances of eligible
catenation of fed-
an era of an individual entitlement to
families. Unlike the previous systen
eral benefit pro-
cash and child care assistance in
administered primarily by human
grams. Under the
this country and the beginning of a
service agencies, today states are
AFDC program,
new era of time-limited, work-focused
changing the way they deliver ser-
families were eligi-
assistance and services. The
vices to TANF families by devolving
ble for food
Temporary Assistance for Needy
resources and responsibilities to
stamps, Medicaid,
Families (TANF) block grant that
new public, private, and not-for-
child support. child care, and, in
replaced AFDC provides states with a
profit partners.
some instances, federal housing and
fixed amount of federal funds and
The five-year federal lifetime limit
energy assistance.
permits broad flexibility in setting eli-
on the receipt of TANF assistance
Over time, AFDC and other federal
gibility levels by disregarding earned
has created a new imperative to
entitlement programs were inextrica-
income and assets and by providing
move clients into employment as
bly entwined, bound together by a
families with a wide array of cash
quickly as possible and to support
complex set of federal regulations,
and supportive work services.
their transition into the world of work
funding streams, and policies. Since
In response, states are adopting
Food stamps, Medicaid, child care,
the enactment of the Personal
a variety of innovative policies and
and housing are key components of
Responsibility and Work Opportunity
strategies which allow families on
state job retention strategies for
Reconciliation Act of 1996 that
welfare to keep more of their
these new low-income workers. Over
repealed AFDC, we have begun to
earned income and to accumulate
time, families may increase their
fully appreciate those intricate inter-
assets. These policies and strate-
earnings such that they no longer
8
POLICY & PRACTICE
require this assistance; however, in
policy and program conflicts
Food Stamp program. These two
the short-run, these critical programs
described below.
separate agencies periodically pro-
provide families the stability they
mulgate inconsistent policies that
need to stay in the workforce and off
The Food Stamp Program
increase the cost of administering
of welfare.
The strict regulations governing the
the Food Stamp program and impede
As TANF has diverged from the
administration of the federal Food
state welfare reform innovations.
rigid rules of the former AFDC pro-
Stamp program pose serious obsta-
This was true under AFDC and, unfor-
gram, its link to the remaining federal
cles to states' strategies to reduce
tunately, is increasingly the case
entitlement programs has produced
dependence on welfare and increase
under TANF.
new and unanticipated challenges for
the employment of TANF clients. The
Today, more than 30 states cur-
program administrators as they
clash between the TANF and Food
rently operate TANF diversion pro-
implement welfare reform measures.
Stamp programs is historic, costly.
grams that provide short-term assis-
In reviewing the first two years of
and complex. State administrators
tance to low-income families as an
implementing TANF, we find the inter-
see the conflicts of the two programs
alternative to TANF receipt. Diversion
actions between program rules and
on a daily basis because the TANF
or welfare avoidance payments often
policy objectives of TANF and such
and Food Stamp programs are often
take the form of lump-sum cash
federal programs as Food Stamps
administered by the same human
assistance to help families overcome
and Medicaid. for example, no longer
service agency charged with moving
a crisis or to remove an obstacle to
make sense in the post-AFDC world
welfare clients off assistance and
their employment. Under diversion
and threaten the long-term success
into employment. This is not the
programs, families may receive three
of welfare reform.
case at the federal level where the
months of benefits in one month or
This unfinished agenda of welfare
U.S. Department of Health and
assistance to repair an automobile
reform will require significant federal
Human Services oversees the TANF
needed to transport a client to his
statutory and regulatory change in
block grant and the U.S. Department
or her job.
order to untangle the conflicting
of Agriculture (USDA) administers the
Earlier this year, the USDA Food
and Nutrition Service (FNS) mandat-
ed that when states determine eligi-
bility for food stamps, they must con-
sider diversion payments as income.
Under this mandate, many of the
families who received diversion
payments would be ineligible for
food stamps.
In response to this ruling. states
argued that diversion assistance pro-
vided to families in crisis or in an
effort to remove an obstacle to
employment should not disqualify
families from receiving the food
assistance they need. Lump-sum
assistance should not be equated to
income because a family may have
resources in one month and be desti-
tute the next. More important, once
the link to food stamps is broken,
families may be discouraged from
applying for benefits they are entitled
to receive in the future.
Later in the year, FNS revised its
original guidance and replaced it with
a moderately more generous but
administratively cumbersome one.
The new rules disregard diversion
payments as income if states docu-
ment in writing that a payment was
provided to a family "only once in a
12 month period for needs not to
exceed a 90 day period.' Therefore.
9
DECEMBER 1998
if two or more payments are made to
maintenance system.
and must be streamlined. Absent
a family within a year, the state must
As a result, the more effectively
such an effort. the TANF and Food
consider these payments as income.
states move TANF clients into jobs, it
Stamp programs will continue on the
Clearly, states need greater flexibil-
is more likely states will be penalized
current collision course with costly
ity to operate diversion programs
for payment errors. The efficient and
and unintended consequences for
than this policy allows. It is impossi-
effective administration of this feder-
the families we serve.
ble to predict when and if families
al program is a goal of all state
may need short-term assistance.
administrators and the federal food
Medicaid
While states could avoid this policy
stamp error rate should reflect seri-
The welfare reform law also broke the
obstacle by assigning all families to
ous patterns of payment inaccuracy,
link between TANF and Medicaid eligi-
the welfare rolls. this would be con-
not minor errors attributable to suc-
bility. Despite efforts to manage the
trary to the goal of reducing long-
cessful welfare-to-work efforts.
two programs together, several
term dependence on assistance.
These are but two examples of the
administrative challenges have
If this is the extent of flexibility the
clash between the TANF and Food
emerged that could have serious
administration believes it can exer-
Stamp programs, yet many others
implications for families in need.
cise within the Food Stamp statute,
exist. Although the welfare reform
Under the former AFDC program,
then perhaps congressional action is
law includes an option for states to
clients were categorically eligible for
necessary to afford states greater
coordinate the two programs together
Medicaid. Now. the law requires state
flexibility in aligning the TANF and
under the Simplified Food Stamp pro-
administrators to refer to the income
Food Stamp programs.
gram, few states have opted to do
and resource standards that were in
Another illustration of the need for
so. In fact, the scope of the "simpli-
effect in the state's AFDC plan as of
increased program flexibility is the
fied program" is so limited that it is
July 16, 1996, to determine appli-
calculation of the
food stamp error
rate. Under federal
law, food stamp
benefits are adjust-
ed as recipients'
incomes and earn-
ings change. States
are measured on
their ability to accu-
BORSPINDLE
rately calculate the
food stamp benefit
amount. If the so-
called "error rate"
increases, states
will be penalized.
Calculating the
amount of the
benefit was sim-
pler under AFDC
because far fewer
welfare clients
were earning
income from
employment and
remaining on assis-
tance. In the TANF
program, however, clients' employ-
more complex to administer than the
cants' eligibility. Section 1931 of the
ment may be episodic and the
current program. With the shared
welfare reform law permits states to
amount of earned income may fluctu-
objective of ensuring greater access
increase income and resource stan-
ate significantly from month to
to the Food Stamp program for all
dards (but not above the Consumer
month. The federal method used to
needy families, state and federal offi-
Price Index), decrease income stan-
calculate the food stamp error rate.
cials must work together in crafting a
dards (but not below those in place
however. has remained virtually
sweeping agenda for reform.
on May 1. 1998), or use "less restric-
unchanged despite the fundamental
Moreover. the Food Stamp program
tive" methods. The so-called "look-
shift away from the AFDC income
is increasingly difficult to administer
back" is administratively burdensome
10
POLICY & PRACTICE
and confusing to clients and case-
Statutory or regulatory change is
For example, since the enactment
workers alike. On a practical level, it
necessary to allow states to use
of welfare reform, 42 states have
is unreasonable to expect Medicaid
TANF savings when calculating the
changed TANF income and eligibility
eligibility workers to refer to state
cost-neutrality of future waivers.
rules that disregard earned income
plan provisions of an AFDC entitle-
Perhaps combined savings attribut-
and 38 states have permitted clients
ment program long-since repealed. A
able to unobligated TANF block grant
to retain more resources and still
new standard that is simpler to
dollars and Medicaid could be used
remain on assistance. These policies
administer and easier for families to
or a modest copayment for working
are intended to provide clients with
understand must be established.
poor families could generate the
an incentive to work and a chance to
Statutory or regulatory action is
resources needed to meet the new
accumulate savings. At the same
also necessary to preserve states'
federal test. Without a creative solu-
time. if these clients live in public
option to provide more than 12
tion, thousands of families will lose
housing, the earned income is often
months of Medicaid assistance to
the critical medical assistance they
absorbed by an increase in rent.
families making the transition from
may need to make the successful
Landlords receive higher payments
welfare to work. Under the welfare
transition to long-term self-sufficiency.
but the net effect to the TANF family
reform law, states are required to pro-
As the differences between the
is negligible. The Quality Housing and
vide 12 months of transitional med-
TANF and Medicaid programs grow, it
Work Responsibility Act of 1998
ical assistance to individuals whose
will become administratively costly to
approved by Congress this year pro-
earned incomes increase beyond a
manage these programs together and
vides some relief to families who exit
point that would otherwise make
separate eligibility systems may be
TANF for work by restricting rent
them eligible for Medicaid under
developed. In addition, families who
increases for up to two years.
Section 1931. Prior to the enactment
once sought assistance through the
Although this is a welcomed reform,
of the welfare reform law, however,
agencies that administered the for-
over time, however, we cannot pre-
only 12 states had been granted fed-
mer AFDC program in the future may
dict the effect of changing TANF and
eral transitional Medicaid waivers that
gain access to the Medicaid program
public housing policies. We do not
allowed them to provide Medicaid
through a variety of public, nonprofit,
know the number of families whose
assistance to families for longer than
or private entities which administer
incomes will fall to zero when their
one year. Under the current calcula-
the TANF program. Without action to
lifetime time limits are reached and
tion of cost-neutrality, however, states
afford states greater flexibility in the
what effect their lack of income may
will not be permitted to continue to
administration of the Medicaid pro-
have on the future cash flow and
extend this additional Medicaid cover-
gram, the result may be fewer eligible
capacity of public housing authori-
age to families when their waivers
families receiving the medical assis-
ties. Therefore, we must monitor the
expire. Under the AFDC program,
tance they are entitled to receive.
relationship between welfare reform
states were able to achieve cost-neu-
and housing to preserve the stability
trality of their waivers by calculating
Public Housing
TANF clients need to prosper in
savings to the federal government in
Beyond the Food Stamp and
the workforce.
both the AFDC and Medicaid pro-
Medicaid programs, there are various
TANF is a new program constantly
grams. States calculated that the
federal benefit programs that will
changing to meet the diverse needs
cost of extending transitional
enable states to achieve success in
of clients on assistance and clients
Medicaid for more than one year
welfare reform. One such program is
who have left the caseload, and to
would be offset by the savings the
housing assistance. Safe and afford-
prevent dependence on the welfare
federal government would achieve by
able housing provides the stability
system. We must act now to ensure
reducing the likelihood that clients
families need to exit welfare for work.
that key federal programs and poli-
would return to welfare. Since the fed-
Though limited in scope, the feder-
cies are aligned to meet the goals
eral cost of TANF is capped, the
al government funds housing assis-
and objectives of welfare reform and
Health Care Financing Administration
tance for low-income families living in
provide states all the flexibility they
informed states that the cost-neutrali-
public housing authorities and
need to support state TANF program
ty of future transitional waiver demon-
through Section 8 certificates and
innovations. If we fail to do so, mil-
strations must be achieved within the
vouchers. On average, families
lions of dollars will be spent navigat-
Medicaid program alone. Under this
receiving assistance pay approxi-
ing through the federal entitlement
new test, states will not be able to
mately one-third of their incomes in
bureaucracy. separate eligibility sys-
demonstrate sufficient savings and
rent. The interplay between TANF
tems will be established, and fami-
subsequent transitional Medicaid
and the rules governing the adminis-
lies may lose eligibility and essential
waivers will not be approved. Indeed,
tration of these federal housing pro-
benefits in the process.
in three of the 12 states, the transi-
grams often produce unintended neg-
tional Medicaid waivers have expired
ative outcomes for families trying to
Elaine M. Ryan is director of
and have not been renewed.
work their way off welfare.
government affairs at APHSA.
11
DECEMBER 1998
NO.662 P002/005
01/07/99 16:47
CBPP 4567431
Decline in Food Stamp Participation
from March 1994 to July 1998
Arizona
Minnesota
Wisconsin
Ohio
Texas
Indiana
Kansas
Mississippi
New Hampshire
Massachusetts
Colorado
Florida
Iowa
Virginia
Missouri
Idaho
Rhode Island
Nevada
Wyoming
Louisiana
Utah
California
Pennsylvania
North Dakota
New Mexico
Delaware
Tennessee
Washington
Vermont
Michigan
Illinois
Oklahoma
New York
New Jersey
Alabama
Kentucky
Oregon
Georgia
West Virginia
Maine
Maryland
North Carolina
South Dakota
Montana
South Carolina
Connecticut
Nebraska
Alaska
Arkansas
Virgin Islands
Dist. of Columbia
Hawaii
Guam
TOTAL US
-20
0
20
40
60
% Reduction
Center on Budget and Policy Priorities
F:/sip/karen/presentn/1103DS.ps
NO.662
P003/005
01/07/99
16:47
CBPP
4567431
Decline in Food Stamp Participation Since March 1994
Percent Decline -
March 1994 to
STATE
March 1994
July 1998
July 1998
ALABAMA
561,803
415,612
-26.0%
ALASKA
51,692
43,834
-15.2%
ARIZONA
512,288
229,316
-55.2%
ARKANSAS
290,212
254,142
-12.4%
CALIFORNIA
3,191,890
2,216,978
-30.5%
COLORADO
275,765
177,222
-35.7%
CONNECTICUT
225,044
189,268
-15.9%
DELAWARE
61,717
43,394
-29.7%
DIST. OF COLUMBIA
92,427
82,640
-10.6%
FLORIDA
1,469,271
946,660
-35.6%
GEORGIA
826,295
635,794
-23.1%
GUAM
15,058
16,931
12.4%
HAWAII
115,461
121,388
5.1%
IDAHO
88,094
58,368
-33.7%
ILLINOIS
1,207,279
875,297
-27,5%
INDIANA
543,248
301,515
-44.5%
IOWA
203,883
134,046
-34.3%
KANSAS
197,340
113,625
-42.4%
KENTUCKY
536,337
402,139
-25.0%
LOUISIANA
763,280
525,729
-31.1%
MAINE
141,742
110,764
-21.9%
MARYLAND
399,877
314,126
-21.4%
MASSACHUSETTS
451,344
276,984
-38.6%
MICHIGAN
1,047,450
755,230
-27.9%
MINNESOTA
323,939
173,818
-46.3%
MISSISSIPPI
519,006
309,173
-40.4%
MISSOURI
606,179
399,431
-34.1%
MONTANA
74,280
61,610
-17.1%
NEBRASKA
113,484
95,726
-15.6%
NEVADA
96,977
67,694
-31.6%
NEW HAMPSHIRE
63,760
38,518
-39.6%
NEW JERSEY
554,501
409,894
-26.1%
NEW MEXICO
251,655
176,779
-29.8%
NEW YORK
2,175,154
1,592,673
-26.8%
NORTH CAROLINA
646,230
509,793
-21.1%
NORTH DAKOTA
47,459
33,118
-30.2%
OHIO
1,269,050
693,748
-45.3%
OKLAHOMA
382,926
279,962
-26.9%
OREGON
298,653
229,435
-23.2%
PENNSYLVANIA
1,243,533
866,465
-30.3%
RHODE ISLAND
96,336
63,874
-33.7%
SOUTH CAROLINA
390,940
326,527
-16.5%
SOUTH DAKOTA
55,200
44,574
-19.3%
TENNESSEEE
747,371
527,488
-29.4%
TEXAS
2,764,395
1,529,964
-44.7%
UTAH
131,124
90,618
-30.9%
VERMONT
65,475
46,837
-28,5%
VIRGIN ISLANDS
19,632
17,501
-10.9%
VIRGINIA
571,254
376,137
-34.2%
WASHINGTON
483,004
344,136
-28.8%
WEST VIRGINIA
333,260
257,976
-22.6%
WISCONSIN
334,900
181,049
-45.9%
WYOMING
34,698
23,797
-31.4%
TOTAL US
27,965,172
10 317
01/07/99 16:47
CBPP -> 4567431
NO.662 P004/005
Decline in AFDC/TANF Participation compared to Decline in Food Stamp Participation
From March 1994 - June 1998
Percentage decline in number of cases
Idaho
Wyoming
Wisconsin
West Virginia
Mississippi
Kansas
Florida
Oregon
Alabama
South Carolina
Colorado
Oklahoma
Arkansas
Texas
Georgia
North Carolina
New Hampshire
Tennessee
Ohio
Michigan
Virginia
South Dakota
Louisiana
Arizona
North Dakota
Massachusetts
Indiana
Maryland
Missouri
Kentucky
Utah
Pennsylvania
lowa
Montana
New Jersey
Maine
Delaware
Connecticut
Illinois
Nevada
Vermont
Washington
New York
New Mexico
Dist. of Columbia
California
Minnesota
Alaska
Nebraska
Rhode Island
Hawaii
TOTAL US
-40
-20
0
20
40
60
80
100
% Reduction
% Reduction
Center on Budget and Policy Priorities
F:/sfp/karen/presentn/1104SD.ps
AFDC/TANF
FOOD STAMP
Alabama AFDC / TANF Caseload
70,000
160%
Caseload relative to
1996:8 (left axis)
60,000
Fight
140%
120%
50,000
Caseload (left axis)
100%
40,000
Caseload
80%
30,000
60%
Caseload relative to 1998:6
20,000
40%
10,000
20%
0
0%
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
Year
casr_fin.wpd
Page 1
October 21, 1998
MEMORANDUM FOR THE PRESIDENT
FROM:
Bruce Reed
Andrea Kane
SUBJECT: Minority Welfare Caseloads
You asked us to evaluate recent reports that African-American and Hispanic
families are leaving welfare more slowly than whites, and to consider what more
we could do to ensure all welfare recipients are making the successful transition
from welfare to work. Here is a brief summary of the trends, along with some new
ideas we are developing for consideration in your FY 2000 budget.
I. Caseload Trends
We have worked closely with NEC, CEA, OMB, HHS, and the Census Bureau
to examine the most recent welfare caseload data (generally through 1997). As
detailed in the attached tables, the data show:
1.
Most of the changes in the welfare caseload can be attributed to changes in
the composition of the population as a whole -- specifically, population
growth explains nearly two-thirds of the difference in caseload decline
between Hispanics and whites and nearly half the difference between blacks
and whites.
Since 1994, the number of welfare cases has indeed dropped more among
whites (26 percent) than among blacks (18 percent) and Hispanics (9 percent).
However, when population growth is taken into account, the difference narrows
dramatically. The rate of welfare dependency has dropped sharply for all
populations - -- by 26 percent among whites, 21 percent among blacks, and 20
percent among Hispanics. In other words, minorities are leaving or staying off
welfare at nearly the same rate as whites, but make up a growing share of the
welfare population because they make up a growing share of the population as a
whole. [See Table 1.]
2.
The difference in caseload decline is even narrower among adults. Since
1994, the adult rate of welfare dependency has declined by 30% among
whites, 26% among blacks, and 24% among Hispanics.
casr_fin.wpd
Page 3
A. Current Initiatives
As you know, you have put forward many initiatives to help the
hardest-to-serve welfare recipients and those living in concentrated areas of
poverty. Many of these initiatives were implemented in 1998, too late to influence
1994-1997 trends outlined above.
The $3 Billion Welfare-to-Work Fund you fought for in the Balanced
Budget Act is designed specifically to help long-term welfare recipients
(and non-custodial parents) in high-poverty areas obtain jobs and move
up a career ladder. While it is too early to have demographic data on
the individuals served by these funds, the distribution formula and
individual eligibility criteria ensure that most of these funds will be
spent on minorities. The first of these funds were awarded in January
1998 and are just now starting to provide individual services.
Welfare to Work Transportation Funds enacted in the TEA-21
transportation reauthorization bill will help welfare recipients and
low-income workers get to where the jobs are, often in suburban areas
not served by public transportation. The omnibus budget bill includes
$75 million for this year.
Welfare-to-Work Housing Vouchers we've proposed will help families
in isolated urban or rural areas move closer to job opportunities.
Congress has funded our request for 50,000 vouchers.
Community Empowerment Initiatives. The Administration's
Community Empowerment initiatives -- empowerment zones,
enterprise communities, Brownfields, CDFIs -- will spur economic
development and job creation in distressed neighborhoods and help
address the geographic isolation faced by minorities on welfare.
B. New Initiatives
In preparation for next year's budget, we are developing a number of options
to address the particular challenges faced by minorities in making the transition
from welfare to work:
Increasing Investments in English-Language and Literacy Training. We
hope to recommend targeted new investments in two areas that
directly affect minority and long-term recipients: learning English and
learning to read. This could be done by expanding existing
Department of Education adult education programs, or better yet, by
dedicating Welfare-to-Work funds for job-related literacy and ESL
casr_fin.wpd
Page 4
programs, provided either in the workplace or by community
organizations preparing individuals for employment.
Expanding Work-Related Drug Treatment. Since many of those
remaining on welfare suffer from drug or alcohol dependencies, we are
exploring ways to provide drug treatment for those who agree to go to
work.
Targeting Welfare-to-Work Funds to the Toughest Areas. While the
current Welfare-to-Work formula favors high-poverty areas, we are
going to examine whether the funds could be even more targeted.
Increasing Work and Child Support Among Noncustodial Fathers. We
may be able to attract bipartisan support for an effort to help states
increase the employment and child support payments of noncustodial
parents.
Minority Caseloads Analysis and Tables
Table 1: Population-Adjusted Change in Rate of Welfare Dependency
Since 1994, the number of welfare cases has dropped more among whites
(26 percent) than among blacks (18 percent) and Hispanics (9 percent). However,
when population growth is taken into account, the difference narrows dramatically.
The rate of welfare dependency has dropped sharply for all populations -- by 26
percent among whites, 21 percent among blacks, and 20 percent among Hispanics.
Specifically, population growth explains nearly two-thirds of the difference in
caseload decline between Hispanics and whites and nearly half the difference
between blacks and whites.
Table 1: Change from 1994 to 1997*
Race/Ethnicity
Number of Welfare
Population
Rate of Welfare
Cases
Aged 15-49
Dependency (caseload
adjusted for population)
White
-26%
-0.1%
-26%
Black
-18%
4.4%
-21%
Hispanic
-9%
13.0%
-20%
casr_fin.wpd
Page 5
* National data is only available through June 1997. We do not yet have more recent data, or
state-specific data, that we consider accurate. in July, The New York Times reported more recent
data provided by some states, but HHS believes that data, particularly for New York and California,
may contain significant reporting errors due to states implementation of the new TANF data
reporting system. The trends in population aged 15-49 are used here because this is the population
group most likely to be a welfare head of household, whose race/ethnicity would be counted when
tallying the case demographics.
Table 2: Population-Adjusted Adult Rate of Decline
The difference in caseload decline among groups is even narrower for adults.
Child-only cases are decreasing more slowly than the overall welfare caseload and
are disproportionately minority; in fact, between 1994 and 1997 they increased
(though they declined slightly between 1996 and 1997). Child-only cases are those
in which the parent or adult is not part of the case, (e.g., adult is not a citizen but
the child is; child is being cared for by a relative who is not part of the case; parent
receives SSI rather than welfare). Therefore, child-only cases are not significantly
affected by welfare to work efforts. After adjusting for population growth, the rate
of welfare dependency for adults (percent of 15-49 year old population on welfare)
has declined 30% among whites, 26% among blacks, and 24% among Hispanics.
Table 2: Population-Adjusted Rate of Decline in Adult Welfare Dependency: 1994 -
1997*
Rate of decline
Rate of
Rate of decline
Population-adjust
for all cases
increase for
for adult-headed
ed rate of welfare
child-only
cases
dependency for
cases
adult cases
White
- 26%
7%
- 30%
- 30%
Black
- 18%
3%
- 23%
- 26%
Hispanic
- 9%
9%
- 15%
- 24%
*National data is only available through June 1997.
Table 3: Racial Breakdown of Adult Cases
The composition of the welfare caseload have changed gradually over the
past 25 years, driven largely by population changes. Despite differing rates of
caseload decline since 1994, the composition of the adult welfare caseload has
remained relatively constant.
Table 3: Racial Breakdown of Adult Cases
casr_fin.wpd
Page 6
Race/Ethnicity
1994
1997*
White
40%
37%
Black
36%
37%
Hispanic
19%
21%
Asians, Native Americans, and those designated "Unknown" comprise the rest of the caseload.
*National data is only available through June 1997.
Table 4: Employment Rate of Welfare Recipients
There is encouraging evidence that the employment rates of minority welfare
recipients (people on welfare in one year who were working the following year) are
catching up with the employment rate for whites.
Table 4: Employment Rate of Welfare Recipients: 1996-98
Race/Ethnicity
1996
1998
Percent Change
96-98
White
36%
38 %
+5%
Black
23 %
33 %
+ 44%
Hispanic
19 %
29 %
+ 49%
All Recipients
27%
34%
+ 28%
Table 5: Trends in Marriage Rates and Births
The trends in marriage rates and births to unmarried women could
exacerbate the increasing proportion of Hispanic families on welfare. While the
proportion of never-married single mothers is increasing for the entire population,
the rate of increase is largest for Hispanic women. Also, the birth rate to unmarried
teenagers remains much higher for blacks and Hispanics than for whites. While the
rate is decreasing for blacks and slightly for whites, it continues to increase for
Hispanics. For example, between 1991 and 1996, the rate of births to unmarried
teenagers decreased 18% for blacks and 4% for whites, but increased 3% for
Hispanics.
1992
1997
% Change
% of all single mothers who were
30%
35%
+ 17%
never married
Never-married single mothers by race/ethnicity:
White
17%
21%
+ 24%
Black
51%
55%
+ 8%
casr_fin.wpd
Page 7
Hispanic
33%
42%
+27%
Table 6: Characteristics of Minorities on the Caseload
Minorities on welfare are more likely to have characteristics associated with
long-term welfare recipiency. Blacks and Hispanics on welfare tend to have lower
educational levels, marriage rates, and larger families than whites, and are more
than twice as likely to live in central cities and areas of concentrated poverty.
Hispanics also have less recent work history than whites or blacks.
Table 6: Characteristics of AFDC/TANF Recipients by Race/Ethnicity*
TOTAL
WHITE
BLACK
HISPANIC
% without HS
43%
30%
43%
64%
diploma
% never married
47%
33%
69%
43%
> 2 children
29%
20%
33%
39%
Worked during the
45%
49%
48%
33%
year
Live in area w/
48%
29%
67%
58%
poverty rate > 20%
Live in central city
49%
29%
68%
60%
*These data are from the March 1998 Current Population Survey, showing characteristics of
recipients in 1997.
Minorities are more likely to be long-term welfare recipients. For example, in
1997, 20 percent of blacks on welfare had been on the rolls for at least five
continuous years, compared to 19 percent for Hispanics and 14 percent for whites.
12/21/98 09:17
PROGRAM DEVELOPEMENT DIVISON
912024567431
NO. 937 P001/004
USDA:FCS:FSP:PDD:PDB
FAX
3101 PARK CENTER DRIVE
ROOM 718
ALEXANDRIA, VA 22302
Number of pages 12/21/98 including cover sheet
Date
To:
From:
Cynthico Rice
ARTHUR T. FOLEY
DIRECTOR
PROGRAM
DEVELOPMENT
DIVISION
Phone
Phone
703-305-2490
Fax Phone
456-7431
Fax Phone
703-305-2486
CC:
REMARKS:
Urgent
For your review
Reply ASAP
Please comment
Who is Leaving the Food Stamp Program?
Detailed Table
12/21/98 09:17
Participants
Participants
Participation
Percent
Percent of
Subgroup
in 1994
in 1997
Change in
Decline from
(In thousands)
(in thousands)
(in
(ii)
Participation
Subgroup
Legal Permanent
Resident Aliens
1,537
706
831
54.07 %
14.01 %
Childless
Unemployed
1,148
648
500
43.55 %
8.43 %
Adults
AFDC/TANF
Reciplents
13,052
9,442
3,610
27.66%
60.87 %
PROGRAM DEVELOPEMENT DIVISON -> 912024567431
All Other
Participants
11,697
10,707
990
8.46%
16.69%
Total
Participants
27,434
21,503
5,931
21.62%
100.00 %
Notes:
1. Participation obtained from July-September Food Stamp Program Quality Control data for 1994 and 1997.
2. All subgroups are mutually exclusive. Childless unemployed adults do not include Legal Permanent Resident
aliens. Likewise, AFDC/TANF recipients do not include aliens or childless unemployed adults.
NO.937 P002/004
Who has left the FSP?
09:17 12/21/98
1994 Caseload Distribution
Aliens
Share of 1994-1997 Decline
ABAWDs
Others
Aliens
17%
14%
ABAWDs
8%
0
PROGRAM DEVELOPEMENT DIVISON
>
AFDC/TANF
47%
AFDC/TANF
912024567431
61%
NO.937 P003/004
Are Children of Legal Immigrants Leaving
the Program Faster than Other Children?
12/21/98 09:17
Child Liveswith
Child Does Not Live
lien:,
with Legal- Alien
Number of Child
Jumber of Children
October 1996
1,251,000
11,034,000
September 1997
742,000
9,804,000
PROGRAM DEVELOPEMENT DIVISON -> 912024567431
Drop
434,000
1,682,000
Percent Drop
36.90%
14.64%
Notes:
1. Numbers obtained from Fiscal Year 1997 Food Stamp Quality Control data.
2. Children in both groups are citizens. Those living with a legal alien are those whose household contains a legal
permanent resident who was affected by the restrictions on benefits to immigrants as a result of welfare reform.
NO.937 P004/004
931
TABLE 15-5.-COUNTED (NET) AND BASIC (GROSS) MONTHLY INCOME ELIGIBILITY
LIMITS FOR THE FOOD STAMP PROGRAM, FISCAL YEAR 1998
48 States, the
District of
Household size
Alaska
Hawaii
Columbia, and the
territories
Counted (net) monthly income eligibility lim-
its 1.
1 person
$658
$823
$756
2 persons
885
1,106
1,017
3 persons
1,11D
1,390
1,278
4 persons
1,338
1,673
1,539
5 persons
1,565
1,956
1,800
6 persons
1,791
2,240
2,060
7 persons
2,018
2,523
2,321
8 persons
2,245
2,806
2,582
Each additional person
+227
+284
+261
Basic (gross) monthly income eligibility lim-
its 2:
1 person
855
1,070
983
2 persons
1,150
1,438
1,322
3 persons
1,445
1,806
1,661
4 persons
1,739
2,175
2,000
5 persons
2,034
2,543
2,339
6 persons
2,329
2,911
2,678
7 persons
2,623
3,280
3,018
8 persons
2,918
3,648
3,357
Each additional person
+295
+369
+340
1 Set at the applicable Federal poverty guidelines, updated for inflation through calendar 1996.
2 Set at 130 percent of the applicable Federal poverty guidelines, updated for inflation through cal-
endar 1996.
Source: U.S. Department of Agriculture, Food and Consumer Service.
Counted liquid assets include cash on hand, checking and sav-
ings accounts, savings certificates, stocks and bonds, individual re-
tirement accounts (IRAs) and "Keogh" plans (less any early with-
drawal penalties), and nonrecurring lump-sum payments such as
insurance settlements. Certain "less liquid" assets are also counted:
a portion of the value of vehicles (generally, the fair market value
in excess of $4,650) and the equity value of property not producing
income consistent with its value (e.g., recreational property).
Counted assets do not include the value of the household's resi-
dence (home and surrounding property), business assets, personal
property (household goods and personal effects), lump-sum earned
income tax credit payments, burial plots, the cash value of life in-
surance policies and pension plans (other than Keogh plans and
IRAs), and certain other resources whose value is not accessible to
the household or are required to be disregarded by other Federal
laws.
Work-related requirements
Unless exempt, most able-bodied adults must (to gain or retain
eligibility) (1) register for work (typically with the welfare agency
266 / THE RAND JOURNAL OF ECONOMICS
This solution is implemented by a tariff P(q) such that the marginal price P'(q) is
larger than the marginal cost C'(q) for all relevant consumption levels. Moreover, it is
immediate to verify that P(q) C(q). All consumers thus contribute to profits, both in
absolute and in marginal terms.
3. Competitive bypass
The market structure. We now assume that competitors can sell direct access to
long distance, using the same bypass technology as the operator. We assume perfect
competition between bypass operators, so that consumers opting for the bypass tech-
nology face a tariff cq + ƒ, in which case a type-Θ consumer buys q(Θ) and gets a
utility S(Θ).
If the local network operator wants to attract a type-Θ consumer, it must give him
a utility above S(Θ). This imposes a new participation constraint:
U(Θ) ≥ max {S(Θ), 0}.
(IR)
The optimal tariff now maximizes W subject to (IC) and this new participation
constraint (IR). We denote by qᶜ(Θ) the quantity consumed by type Θ under the optimal
tariff Pᶜ(q), and by Uc(Θ) the consumer's utility.
As before, the incentive-compatibility conditions (IC) imply that consumption in-
creases with Θ. Together with technical efficiency, this implies that consumers can be
divided among three groups: those below some threshold, Θᶜ, are excluded; those above
another threshold, Θᶜ, are served through the bypass technology and consume more
than q;; and those in the middle range, between Θᶜ and Θᶜ, are connected to the network
and consume less than q.-
We start the analysis with a result that is of general validity for the problems
addressed here and in particular does not depend on the precise cost structure.
Proposition 1. No quantity is served at a tariff below (minimum) cost. As a conse-
quence, bypass is priced at cost.
The basic intuition is as follows. Suppose that some consumers are served at a
price below cost. Raising the price of the consumption of all these consumers up to
cost obviously reduces their utility, without affecting the choices of the others. How-
ever, it leaves open for these consumers the option of gaining at least the total surplus
generated before (by keeping their consumption unchanged). Hence, given that profit
is now positive or null on all types, the surplus levels generated by the new choices
of these agents must then be higher than the previous levels. As a consequence, since
utilities have decreased, total welfare (W = S AU) increases.
Proposition 1 has an interesting implication:
Corollary 1. The optimal strategy is the same whether the operator is allowed to sell
bypass or not.
Proof. From Proposition 1, one optimal strategy is to sell no bypass (i.e., to leave
bypass, which generates no profit, to competitors) and to sell qᶜ(Θ) to types
Obviously this strategy remains optimal if the operator is not allowed to sell bypass.
Q.E.D.
So far, we have assumed that competition among bypass operators leads to mar-
ginal cost pricing (for both access and use). Using a standard Bertrand type of argu-
ment, the next result shows that, more generally, the same pricing policy would emerge
in equilibrium as soon as the incumbent monopoly and at least one competitor have
access to the bypass technology.
934
tion); and States may impose food stamp disqualification when an
individual is disqualified from another public assistance program.
Automatic disqualification is required for those applying in mul-
tiple jurisdictions, fleeing arrest, or convicted of a drug-related fel-
ony. And States may disqualify individuals not cooperating with
child support enforcement authorities or in arrears on their child
support obligations.
BENEFITS
Food stamp benefits are a function of a household's size, its net
monthly income, and maximum monthly benefit levels (in some
cases, adjusted for geographic location). An eligible household's net
income is determined (i.e., deductions are subtracted from gross in-
come), its maximum benefit level is established, and a benefit is
calculated by subtracting its expected contribution (30 percent of
its counted net income) from its maximum allotment. Thus, a 3-
person household with $400 in counted net income (after deduc-
tions) would receive a monthly allotment of $201 (the maximum 3-
person benefit in the 48 States, $321, less 30 percent of net income,
$120).
Allotments are not taxable and food stamp purchases may not be
charged sales taxes. Receipt of food stamps does not affect eligi-
bility for or benefits provided by other welfare programs, although
some programs use food stamp participation as a "trigger" for eligi-
bility and others take into account the general availability of food
stamps in deciding what level of benefits to provide. In fiscal year
1996, monthly benefits averaged $73 a person and about $183 a
household.
Maximum monthly allotments
Maximum monthly food stamp allotments are tied to the cost of
purchasing a nutritionally adequate low-cost diet, as measured by
the Agriculture Department's Thrifty Food Plan (TFP). Maximum
allotments are set at: the monthly cost of the TFP for a four-person
family consisting of a couple between ages 20 and 50 and two
school-age children, adjusted for family size (using a formula re-
flecting economies of scale developed by the Human Nutrition In-
formation Service), and rounded down to the nearest whole dollar.
Allotments are adjusted for food price inflation annually, each Oc-
tober, to reflect the cost of the TFP in the immediately previous
June.
Maximum allotments are standard in the 48 contiguous States
and the District of Columbia; they are higher, reflecting substan-
tially different food costs, in Alaska, Hawaii, Guam, and the Virgin
Islands (table 15-6).
Minimum and prorated benefits
Eligible one- and two-person households are guaranteed a mini-
mum monthly food stamp allotment of $10. Minimum monthly ben-
efits for other household sizes vary from year to year, depending
on the relationship between changes in the income eligibility limits
and the adjustments to the cost of the TFP. In a few cases, benefits
can be reduced to zero before income eligibility limits are exceeded.
CURIEN, JULLIEN, AND REY /
267
Corollary 2. The operator's optimal pricing strategy, the solution to the above program,
is also part of a Nash equilibrium, in which the bypass competitor(s) prices (price)
access and usage at marginal cost.
Proof. By construction, the above optimal pricing policy is a best response to such
pricing behavior from bypass operators. But this policy leaves no room for positive
profits for the bypass operators, which thus cannot do better than marginal cost
pricing. Q.E.D.
Tariff, consumptions and market shares. The precise analysis of the optimi-
zation problem is given in the Appendix. The first-order condition with respect to q(Θ)
yields
where φ(Θ) is the shadow value of the incentive constraint.
This condition expresses the familiar tradeoff between informational rents and
efficiency. φ(Θ) measures the cost of the rents that must be given to consumers to keep
types close to Θ from consuming q(Θ). As usual, this cost induces a deviation from the
"first-best" level; however, in contrast with the standard case, φ may be either positive
or negative. Underconsumption is associated with φ(Θ) < 0 and a marginal price above
marginal cost. This occurs when the problem faced is to prevent larger consumers from
reducing their consumption, as in the standard nonlinear pricing model. Incentive com-
patibility is then best achieved by reducing the consumption q(Θ)-along with the total
price P(q(Θ))-since low-quantity/low-price bundles are less attractive for higher-val-
uation consumers. But φ can also be positive, in which case q(Θ) is larger than q(Θ).
This can be understood as follows. The operator has to match the bypass tariff, which
is particularly attractive for large levels of consumption. This not only benefits large
users, it also gives medium-size users an incentive to increase their consumption. To
prevent this, the operator raises the consumption of large consumers compared to the
first best-along with an increase of the total bill-to make the quantity/price bundle
less attractive to consumers with lower willingness to pay. As a result,
Proposition 2. There exists σᶜ and Θᶜ such that Θᶜ < Θᶜ < Θᶜ ≤ Θᶜ and
qᶜ(Θ) < qFB(Θ) on 10c, σ[,
qᶜ(Θ) > qFB(Θ) on ]Φ, Θ°[,
> S(Θ) for all Θ <
To prevent medium-range consumers (between Θᶜ and Θᶜ) from using bypass, the
optimal tariff induces overconsumption-the marginal price P'(q) on the local network
is thus below the marginal cost c for those consumers' consumption levels. This occurs
before the participation constraint starts to be binding (for all consumers between Θᶜ
and Θc). It is even possible that all consumers connected to the network, including those
who overconsume, receive a strictly positive net surplus (i.e., Öᶜ = Θc).
Lemma 1. If c is small enough, Uc(Θ) > S(Θ) for all Θ < Θᶜ.
Clearly, given the consumption profile, the allocation of consumers between the
two technologies is technically efficient. However, the allocation involves global in-
efficiencies in market shares due to the quantity distortions.
935
At present, minimum monthly allotments for households of three
or more persons range from $2 to over $80.
In addition, a household's calculated monthly allotment can be
prorated (reduced) for 1 month. On application, a household's first
month's benefit is reduced to reflect the date of application. If a
previously participating household does not meet eligibility recer-
tification requirements in a timely fashion, but does become cer-
tified for eligibility subsequently, benefits for the first month of its
new certification period normally are prorated to reflect the date
when recertification requirements were met.
TABLE 15-6.-MAXIMUM MONTHLY FOOD STAMP ALLOTMENTS, FISCAL YEAR 1998
48
States
and the
Household size
Alaska I
Hawaii
Guam
Virgin
District
Islands
of Co-
lumbia
1 person
$122
$154
$197
$180
$157
2 persons
224
283
361
331
288
3 persons
321
405
517
474
413
4 persons
408
514
657
602
525
5 persons
485
611
780
715
623
6 persons
582
733
936
858
748
7 persons
643
810
1,035
948
827
8 persons
735
926
1,183
1,083
945
Each additional person
+92
+116
+148
+135
+118
1 Maximum monthly allotments for designated urban areas of Alaska. Two separate higher allotment
levels are applied in remote rural areas of Alaska. They are 28 and 55 percent higher than the urban
allotments shown here.
Source: U.S. Department of Agriculture.
Application, processing, and issuing food stamps
Food stamp benefits normally are issued monthly. The local wel-
fare agency must either deny eligibility or make food stamps avail-
able within 30 days of initial application and must provide food
stamps without interruption if an eligible household reapplies and
fulfills recertification requirements in a timely manner. Households
in immediate need because of little or no income and very limited
cash assets, as well as the homeless and those with extraordinarily
high shelter expenses, must be given expedited service (provision
of benefits within 7 days of initial application).
Food stamp issuance is a welfare agency responsibility, and
issuance practices differ among welfare agencies. Most food stamp
coupons are issued by: (1) providing (usually mailing) recipients an
authorization-to-participate (ATP) card that is then turned in at a
local issuance point (e.g., a bank or post office) when picking up
their monthly allotment; or (2) mailing food stamp coupon allot-
ments directly to recipients. However, in a growing number of
States, electronic benefit transfer (EBT) systems are used. EBT
systems replace coupons with an ATM-like card used to make food
purchases at the point of sale by deducting the purchase amount
from the recipient's food stamp benefit account. EBT issuance is
268 / THE RAND JOURNAL OF ECONOMICS
Proposition 3. ΘFB and Θᶜ <
Compared with the full-information case, the operator excludes more small users
and the range of bypass increases. For small consumers, the analysis is similar to the
pure (protected) monopoly: to reduce rents, the operator excludes the smallest consum-
ers and reduces the consumption of the other ones. But for large users, the operator
must leave the bypass surplus to the largest ones and increase the consumption of the
other ones, which tends to reduce the market share of the network technology. The
nature of the inefficiencies is illustrated by the boundary conditions
f = 0
+ f = cq(Θ) f,
which reduce to
= )
S(Φ, qᶜ(Θᶜ)) S(Θc, = g(Θ) (V(q()) V(q°(Θᶜ))).
These conditions express the tradeoff between the marginal benefit of serving one
more consumer through the local network and either not serving him at all (first condition)
or serving him using the bypass technology. Transversality conditions, moreover, imply
φ() < 0 and φ(Θ) > 0. Hence S(Θc, qᶜ(Θᶜ)) > 0 and S(Θ, q°(Θ)) - S(Θ, q())) ≥ 0
(> 0 if q(Θᶜ) > qᶜ(Θᶜ)). Including more types at the lower margin always raises the
total surplus but forces the operator to reduce the price offered to all inframarginal
consumers and reduces profits. The same is true at the higher margin if consumers just
below Θᶜ strictly prefer to stay in the network (then > qᶜ(Θᶜ)). If large customers
of the network are just indifferent between the network and bypass, they consume as
under bypass (qc(Θ) = q(Θ)), and their allocation between the network and bypass is
only a matter of technical efficiency; in this case, the market share of bypass is locally
efficient.
Although there are inefficiencies, Proposition 1 shows that no consumer is globally
subsidized (in absolute terms). The optimal tariff can be interpreted as follows. The
operator lets competitors serve consumers under bypass and uses only the network
technology. It sells only up to a maximal quantity q°(Θᶜ) < qₑ, with an access fee
P(0) > 0 and a nonlinear variable tariff P(q) - P(0). The marginal price P (g) is above
the network marginal cost for low quantities and below the network marginal cost for
large quantities, and it is actually possible to show that P(q) > C(q) for q<q
Comparative statics. We present here some comparative statics that will help
explain the impact of bypass. We assume here that the marginal cost of bypass is small,
so that Lemma 1 applies. (All claims are proved in the Appendix.)
To illustrate the nature of the externality imposed by the competitive pressure, let
us consider an increase in the connection cost of bypass f. This weakens the competitive
pressure on the operator and, as intuition suggests, reduces the market share of bypass.
Obviously, the utility of bypass consumers decreases because of the direct increase in
the competitive price for bypass, cq + f. As an indirect consequence, lowering the
Dear Commissioner:
The Administration is committed to ensuring that all eligible low-income households have
access to vital Federal food assistance programs such as the Food Stamp program. The Food Stamp
program, which provides food assistance benefits to more than 19 million eligible individuals
nationwide, is the cornerstone of our efforts to guarantee a healthy and nutritious diet to all low-
income families. Due to welfare reform and to today's strong economy, many households are
finding employment and leaving the Temporary Assistance for Needy Families (TANF) program.
We want to continue to work together to ensure that policy innovations in TANF do not
inadvertently result in diminished access to food assistance for those who still need assistance,
including working families.
Recently we polled all the State agencies to find out if they were in compliance with food
stamp application processing regulations. We learned that most State agencies are continuing to
encourage households to apply for food stamps even if they have been diverted from applying for
TANF. They are continuing to process food stamp applications even for households that have been
denied TANF. Moreover, they are continuing to keep eligible households on the food stamp rolls
after they have left TANF. Finally, many State agencies have taken special steps to avoid
improperly denying or delaying food stamp receipt by providing special training for eligibility
workers and/or sending notices to local offices reiterating the need to follow food stamp application
processing regulations.
While most of the feedback has been positive, your continued cooperation with federal law
will ensure that low income families have the opportunity to apply for food stamps and receive
benefits to which they are entitled. We want to highlight several circumstances where State
agencies need to pay particular attention to the food stamp application processing regulations.
Application for Benefits: Many States are diverting households from going on
the TANF rolls. Households may be required to engage in job search prior
to filing an application for TANF. These pre-application requirements for
TANF cannot be applied to food stamps. Therefore, in these instances, it is
particularly important that the State agency make sure that applicants are fully
aware of their right to file an application for food stamps.
Processing the Application: In some States, applications for TANF are put on
hold until the applicant has completed the pre-application requirements. In
these circumstances, it is imperative that the State agency continue to process
the food stamp application and screen it for expedited service despite the delay
in processing the TANF application.
Determining Eligibility: In some circumstances, TANF-required job search may
result in an applicant getting a job and therefore being denied TANF based on
his/her earnings. Or, the applicant may accept a lump sum diversion payment
CHARACTERISTICS OF FOOD STAMP HOUSEHOLDS:
FISCAL YEAR 1997
(Advance Report)
United States Department of Agriculture
Office of Analysis and Evaluation
Food and Nutrition Service
October 1998
T
he FSP is the nation's largest food
children received an average monthly food stamp
assistance program. In fiscal year 1997; it
benefit of $234, reflecting their relatively large
served an average of 22.9 million people
average size (3.4 persons). Single-parent homes
per month. Almost $19.6 billion was paid out in
(3.1 persons on average) received an average of
food stamps that year.
$228 in food stamps, and multiple-adult homes
with children (4.5 persons on average) received an
Food stamps are made available to virtually all
average of $268.
low-income households with few resources to
supplement their food purchases and help them
Households containing elderly persons
maintain a healthy diet. In fiscal year 1997, food
represented 17.6 percent of all food stamp
stamps were approximately one-fourth of a
households. Slightly over three-quarters of them
participating household's total monthly income
were single-person households, which received an
(cash plus food stamps). If the value of food
average monthly benefit of $47. Households
stamps was counted in addition to cash as gross
containing elderly and other persons received an
income, over one-fifth of food stamp households
average benefit of $118. A substantial proportion
would move from below to above half the poverty
of food stamp households contained disabled
line (Figure 1).
persons (22.3 percent); these households received
an average benefit of $104.
In fiscal year 1997, slightly over half of all food
stamp participants were children, most of whom
II. Characteristics of Food Stamp Participants
lived in single-parent households (Figure 2). The
remaining participants were nonelderly adults
Among adult participants (age 18 or older),
(40.6 percent) or elderly adults--age 60 or older--
women outnumbered men by over two to one
(7.9 percent).
(Table 2). Of the children participating, 34.1
percent were of preschool age (0 to 4 years), and
I. Composition of Food Stamp Households
65.9 percent were of school age (5 to 17 years).
In fiscal year 1997, the majority (58.3 percent) of
The largest proportion of food stamp participants
food stamp households contained children (Table
were white, non-Hispanic (40.3 percent); about
1). Of these households, over two-thirds (69.1
one-third were African-American, non-Hispanic
percent) were single-parent homes, approximately
(34.9 percent); and approximately one-fifth were
one-quarter (24.7 percent) were multiple-adult
Hispanic (19.2 percent). The remaining
homes, and the remaining households contained
participants were Asian, Native American, or of
no members over the age of 17. Households with
another race or ethnicity (Table 3).
This brief was prepared by Scott Cody and Jacquelyn Anderson of Mathematica Policy Research, Inc. Programming
support was provided by Mark Brinkley. The information presented in this brief is based on data collected by the Food
and Nutrition Service for quality control purposes for fiscal year 1997.
Page 2
FIGURE 1
POVERTY STATUS OF FOOD STAMP HOUSEHOLDS
WITH AND WITHOUT FOOD STAMPS, 1997
51 to 100% of Poverty
51 to 100% of Poverty
51.5%
66.6%
101% + of
Poverty
8.6%
15.3%
101% + of
18.1%
39.9%
Poverty
Poorest Households
Poorest Households
(50% of Poverty or Less)
(50% of Poverty or Less)
CASH ONLY
CASH AND FOOD STAMPS
FIGURE 2
DISTRIBUTION OF FOOD STAMP PARTICIPANTS, 1997
Children in Single
Parent Households
34.4%
Nonelderly Adults
40.6%
2.8% Children in
Other Households
Elderly Adults 7.9%
14.3%
Children in Multiple
Adult Households
Source: 1997 Food Stamp Quality Control sample.
Page 3
III. Benefits and Income of Food Stamp
Minnesota, New Hampshire, Ohio, and Vermont--
Households
states with typically above-average gross
household income and below-average household
The average monthly food stamp benefit in fiscal
size.
year 1997 was $169. The majority (68.6 percent)
of food stamp households received monthly
V. Change in Participation Over Time
benefits of over $100, and 36.4 percent received
over $200 (Table 4). In fiscal year 1997, 80.7
The number of persons participating in the FSP
percent of all benefits went to households with
grew substantially between 1989 and 1994 and
children, and 6.6 percent of all benefits went to
has declined steadily since 1994 (Figure 3).
households with elderly members (not shown).
Specifically, the number of food stamp
participants grew from 18.9 million persons in
The average monthly gross income of food stamp
1989 to a record high of 28.0 million in March
households was $558 (Table 5). The majority of
1994 and has decreased to 22.1 million in June
households (78.4 percent) received unearned
1997. The change in the number of Food Stamp
income from one or more of the following
Program participants is associated with changes in
sources: Aid to Families with Dependent
the economy, as indicated by the number of
Children/Temporary Assistance to Needy
unemployed persons and the number of persons
Families (AFDC/TANF), General Assistance
living in poverty. For example, Figure 3 shows
(GA), Social Security, Supplemental Security
that the surge in FSP participation between 1989
Income (SSI), Unemployment Compensation, or
and 1994 was associated with a worsening
some other payment such as veterans benefits or
economy, and the drop in participation since 1994
educational loans. Slightly less than one-forth of
has been associated with an improving economy.
all households (24.2 percent) received earned
income. Almost a tenth (9.2 percent) received
The changes in program participation have been
zero gross income.
accompanied by changes in the composition of the
caseload (Table 7). Although households with
IV. Characteristics of Food Stamp Households
children remain a large proportion of the caseload,
by State
that proportion has dropped from a high of 62.2
percent in 1992 to 58.3 percent in 1997. On the
In fiscal year 1997, over half of all food stamp
other hand, the proportion of households with
households were located in eight states:
elderly has risen from a low of 15.4 percent in
California, Florida, Illinois, Michigan, New York,
1992 to 17.6 percent in 1997. However, the most
Ohio, Pennsylvania, and Texas (Table 6). The
substantial change in caseload composition has
average monthly food stamp benefit varied by
been the dramatic rise in the proportion of
state, reflecting differences in income, expenses,
participating households with disabled persons,
household size, and composition. Average
rising from a low of 8.9 percent in 1990 to 12.5
monthly benefits were largest in Alaska, Hawaii,
percent in 1994, and from 18.9 percent in 1995 to
Guam, and the Virgin Islands because the
22.3 percent in 1997.
maximum allotment is set higher in those areas to
accommodate higher costs of living. Within the
Changes Under PRWORA. The Personal
contiguous United States, food stamp benefits
Responsibility and Work Opportunity
were highest (greater than $200) in Arizona and
Reconciliation Act of 1996 (PRWORA) took
Texas--states with above-average household size.
effect in FY 1997. This legislation, enacted
Conversely, average monthly food stamp benefits
August 22, 1996, made the following significant
were lowest (less than $140) in Connecticut,
modifications to the FSP:2
Page 4
FIGURE 3
FOOD STAMP PROGRAM PARTICIPANTS,
UNEMPLOYED PERSONS, AND POOR PERSONS
Millions
40
Persons in poverty a
30
b
FSP participants
20
10
Unemployed persons c
0
84
85
86
87
88
89
90
91
92
93
94
95
96
97
Year
"Annual values. The number of persons in poverty in Fiscal Year 1997 was not available when this report went to print.
Source: Bureau of the Census, Poverty in the United States: 1996, Series P60-198.
ᵇAverage monthly values. Source: Food and Nutrition Service, Fiscal Years 1984-1997 FSP Participation and Issuance.
°Average monthly values. Source: Economic Report of the President, 1998 Table B-36.
Page 5
Most legal permanent resident aliens are
households, regardless of almost any nonfinancial
disqualified from the FSP.³
categorical criteria. Second, instead of cash, it
provides benefits in the form of coupons or
Most able-bodied, nonworking, childless adults
electronic benefits which can be redeemed for
are limited to 3 months of FSP benefits in any
food in any of about 200,000 authorized stores
36-month period.
across the nation. The cost of providing food
stamps to needy persons is funded fully by the
The maximum food stamp benefit is reduced
federal government. Administrative costs are
from 103 percent to 100 percent of the Thrifty
shared by federal, state, and local governments.
Food Plan.
Eligibility. To be eligible for food stamps, a
The standard deduction is frozen indefinitely at
household's assets, gross income, and net income,
fiscal year 1996 levels.
which is based on gross income less deductions
permitted under the FSP, must not exceed
New shelter deduction caps are established for
specified levels that vary by household size,
fiscal years 1997 through 2001, with the cap
composition, and location. Most permanent
frozen at fiscal year 2001 levels thereafter.
resident aliens are ineligible to join the FSP, and
most able-bodied, nonworking, childless adults
The fiscal year 1997 data provide the first picture
are limited to 3 months of FSP benefits in any 36-
of food stamp participants since PRWORA's
month period.
implementation. The data show that the
percentage of permanent resident aliens
Food Stamp Benefit Computation and
participating in the FSP fell from 5.6 percent in
Issuance. Benefits are computed by subtracting
fiscal year 1996 to 4.4 percent in fiscal year 1997.
30 percent of a household's net income from the
In addition, the percentage of able-bodied,
maximum benefit amount, which is based on 100
nonworking, childless adults participating in the
percent of the June cost of the Thrifty Food Plan
FSP fell from 3.6 percent in fiscal year 1996 to
(TFP) for a family of four, adjusted for household
2.9 percent in fiscal year 1997. PRWORA is
size and location. The TFP is based on the cost of
likely a contributing factor behind the continued
a market basket of food that provides an
overall decline in the FSP caseload and costs
economical and nutritious diet. In fiscal year
since 1996. However, the extent to which these
1997, the maximum benefit for a family of four in
trends are caused by PRWORA rather than other
the contiguous United States was $400 per month.
factors such as the economy is difficult to
Program participants receive their monthly
determine. Furthermore, PRWORA was
benefits through the mail, directly from the local
implemented in stages throughout fiscal year
office, or through an electronic benefit transfer
1997, and the average annual estimates provided
(which is similar to a bank card).
here include data from before major components
of PRWORA were in effect.
VII. Data
VI. Description of the Food Stamp Program
The estimates presented here are based on data
extracted from the Integrated Quality Control
The FSP is unique among income maintenance
System, which is an ongoing review of food stamp
programs in two important ways. First, it offers
households designed to measure the accuracy with
assistance to nearly all financially needy
which eligibility and benefit determinations are
Page 6
made. All estimates are based on a full-year
sample of 48,854 households.
Food and Nutrition Service administrative records
indicate that the FSP served 22.9 million persons
in fiscal year 1997, and food stamp households
received an average benefit of $173 per month.
The figures in the attached tables of 23.1 million
participants with an average household benefit of
$169 vary from the administrative figures because
they are estimates from the Food Stamp Quality
Control sample, which weights data by
households rather than persons or benefits.
Administrative figures are based on a monthly
census of actual FSP participation and benefit
issuance.
Notes
¹The 1994-to-1995 increase in the proportion of
households with disabled persons is due in part to a
change in the definition of households with disabled
persons. However, using the old definition, the
proportion with disabled still increases from 12.5
percent to 13.3 percent.
²A summary of the PRWORA provisions that affect the
FSP is available from the FNS World Wide Web site
(http://www.usda.gov/fcs/fcs.htm).
3 The Agricultural Research Bill, enacted on June 23,
1998, restored eligibility to a substantial number of
legal immigrants who lost eligibility under PRWORA.
Specifically, child, elderly, and disabled permanent
resident aliens will be able to begin receiving federal
food stamp benefits on November 1, 1998.
Page 7
Table 1 - Selected Characteristics of Participating Food Stamp Households, 1997
Participating households
Average monthly values
(dollars)
Average
household
Household type
size
Number
Percent
Food stamp
Gross
Net income
(thousands)
benefit
income
(persons)
Total
9,452
100.0
169
558
299
2.4
Children
5,508
58.3
234
648
364
3.4
Single-parent households
3,806
40.3
228
576
302
3.1
Multiple-adult households
1,360
14.4
268
917
590
4.5
Other
342
3.6
169
378
162
2.0
Elderly
1,667
17.6
63
577
319
1.3
Living alone
1,292
13.7
47
521
266
1.0
Not living alone
375
4.0
118
767
503
2.5
Disabled
2,108
22.3
104
687
418
2.1
Living alone
1,110
11.7
52
525
244
1.0
Not living alone
998
10.6
162
868
612
3.4
Other
1,307
13.8
118
185
52
1.1
Single-person
1,168
12.4
110
159
38
1.0
Multiple-person
139
1.5
185
407
170
22
Source: 1997 Food Stamp Quality Control sample.
Page 8
Table 2 - Gender and Age of Food Stamp Participants, 1997
All participants
Female
Male
Age
Number
Number
Number
Percent
Percent
Percent
(thousands)
(thousands)
(thousands)
Total
23,117
100.0
13,880
100.0
9,233
100.0
Children (0-17)
11,871
51.4
5,950
42.9
5,918
64.1
0-4
4,046
17.5
2,017
14.5
2,026
21.9
5-17
7,825
33.8
3,933
28.3
3,892
42.2
Adults (18 or more)
11,219
48.5
7,916
57.0
3,302
35.8
18-35
5,332
23.1
4,007
28.9
1,324
14.3
36-59
4,053
17.5
2,582
18.6
1,472
15.9
60 or more
1,834
7.9
1,328
9.6
506
5.5
Unknown
27
0.1
14
0.1
13
0.1
Source: 1997 Food Stamp Quality Control sample.
Table 3 - Race/Ethnicity of Food Stamp Participants, 1997
Participants
Race
Number
Percent
(thousands)
Total
23,117
100.0
White, Non-Hispanic
9,323
40.3
African-American, Non-Hispanic
8,072
34.9
Hispanic
4,441
19.2
Asian
705
3.0
Native American
313
1.4
Other
263
1.1
Source: 1997 Food Stamp Quality Control sample.
Page 9
Table 4 - Monthly Food Stamp Benefits of Participating Food
Stamp Households, 1997
Participating households
Monthly food stamp benefit
Number
Percent
(thousands)
Total
9,452
100.0
-
-
$0-50
1,726
18.3
$51-100
1,236
13.1
$101-150
2,085
22.1
$151-200
969
10.3
$201-250
1,258
13.3
$251-300
660
7.0
$301 +
1,519
16.1
Source: 1997 Food Stamp Quality Control sample.
Table 5 - Selected Economic Characteristics of Participating Food Stamp Households, 1997
Participating
Persons in households
Average income
Average
Average
households
with source
(dollars)
food
house-
Income source
stamp
hold
Number
Number
From
benefit
size
Percent
Percent
Gross
(thousands)
(thousands)
source
(dollars)
(persons)
Total
9,452
100.0
23,117
100.0
558
(n/a)
169
2.4
Earned income
2,284
24.2
7,533
32.6
879
708
187
3.3
Wages and salaries
2,139
22.6
7,105
30.7
898
728
185
3.3
Self-employment
137
1.5
424
1.8
620
324
225
3.1
Other earned income
35
0.4
106
0.5
817
421
178
3.0
Unearned income
7,415
78.4
18,036
78.0
580
492
163
2.4
AFDC/TANF
3,270
34.6
10,649
46.1
569
372
240
3.3
General Assistance
588
6.2
899
3.9
411
252
123
1.5
Supplemental Security Income
2,504
26.5
4,782
20.7
642
372
93
1.9
Social Security
1,999
21.1
3,377
14.6
647
483
77
1.7
Unemployment
156
1.7
509
2.2
755
491
190
3.3
Other unearned income
1,476
15.6
4,128
17.9
666
211
176
2.8
No Income
868
9.2
1,408
6.1
0
0
180
1.6
Source: 1997 Food Stamp Quality Control sample.
Page 10
Table 6 - Selected Characteristics of Participating Food Stamp Households by State, 1997
Average monthly amount
Average
house-
Total
Percent of all
State
Food stamp
Total
Countable
hold
(thousands)
households
Gross income
Net income
benefit
deduction
assets
size
(dollars)
(dollars)
(dollars)
(dollars)
(dollars)
(persons)
Total
9,452
100.0
169
558
299
291
92
2.4
Alabama
186
2.0
174
553
302
292
78
2.5
Alaska
15
0.2
273
928
607
382
117
3.1
Arizona
133
1.4
203
569
305
294
76
2.9
Arkansas
105
1.1
159
568
339
263
163
2.5
California
1,045
11.1
187
594
333
296
122
2.8
Colorado
91
1.0
169
563
277
319
48
2.4
Connecticut
94
1.0
139
596
335
278
135
22
Delaware
20
0.2
175
577
305
309
105
2.6
Dist. of Col.
40
0.4
186
390
201
227
16
2.3
Florida
514
5.4
168
549
276
306
139
2.4
Georgia
284
3.0
177
535
279
298
80
2.5
Guam
6
0.1
408
567
251
396
118
3.3
Hawaii
57
0.6
291
629
355
308
169
2.3
Idaho
27
0.3
175
622
338
322
175
2.7
Illinois
434
4.6
173
476
252
260
61
2.4
Indiana
140
1.5
167
572
308
294
123
2.5
Iowa
67
0.7
148
625
360
290
85
2.4
Kansas
64
0.7
156
586
323
290
125
2.4
Kentucky
174
1.8
165
551
341
243
109
2.6
Louisiana
220
2.3
185
526
282
277
75
2.6
Maine
58
0.6
149
597
269
356
109
2.1
Maryland
152
1.6
184
445
220
264
24
2.4
Massachusetts
149
1.6
148
635
333
318
95
2.3
Michigan
366
3.9
161
579
283
330
57
2.3
Minnesota
110
1.2
139
573
331
270
159
2.2
Mississippi
155
1.6
160
550
332
247
161
2.5
Missouri
199
2.1
161
542
312
264
115
2.4
Montana
27
0.3
171
600
302
325
236
2.5
Nebraska
41
0.4
150
630
361
290
238
2.4
Nevada
38
0.4
165
520
257
305
67
2.3
New Hampshire
21
0.2
116
596
394
239
173
2.2
New Jersey
212
2.2
176
512
224
316
42
2.3
New Mexico
75
0.8
179
571
348
252
107
2.7
New York
899
9.5
150
603
283
346
24
2.2
North Carolina
250
2.6
156
513
289
256
85
23
North Dakota
16
0.2
156
637
364
304
351
2.5
Ohio
389
4.1
137
556
325
253
78
2.2
Oklahoma
131
1.4
168
534
299
277
79
2.5
Oregon
121
1.3
141
516
289
276
249
2.1
Pennsylvania
440
4.7
161
531
265
302
93
2.3
Rhode Island
37
0.4
158
562
304
279
95
2.3
South Carolina
140
1.5
160
550
346
234
104
2.5
South Dakota
18
0.2
185
552
288
313
206
2.6
Tennessee
253
2.7
154
564
312
285
135
2.3
Texas
751
7.9
201
535
296
278
52
2.8
Utah
38
0.4
167
661
375
312
185
2.7
Vermont
25
0.3
125
598
339
286
164
2.1
Virgin Islands
6
0.1
322
490
292
223
93
3.2
Virginia
206
2.2
156
548
309
268
122
2.3
Washington
198
2.1
157
547
272
306
56
2.2
West Virginia
117
1.2
168
509
280
269
90
2.4
Wisconsin
87
0.9
151
689
427
287
148
2.7
Wyoming
11
0.1
174
583
314
313
180
2.6
Source: 1997 Food Stamp Quality Control sample.
Page 11
Table 7 - Selected Characteristics of Food Stamp Households Over Time
Fiscal Year 1989-Fiscal Year 1995
Total
Children
Elderly
Disabled
Children
Households
Elderly
Households
Households
(percent
with children
(percent
with elderly
with disabled
Fiscal
Participants
Households
of all
(percent
of all
(percent
(percent
Year
(thousands)
(thousands)
participants)
of all)
participants)
of all)
of all)
1997
23,117
9,452
51.4
58.3
7.9
17.6
22.3
1996
25,926
10,552
51.0
59.5
7.3
16.2
20.2
1995
26,955
10,883
51.5
59.7
7.1
16.0
18.9°
1994
28,009
11,091
51.4
61.1
7.0
15.8
12.5
1993
27,595
10.791
51.5
62.1
6.8
15.5
10.7
1992b
25,743
10,049
51.9
62.2
6.6
15.4
9.5
1991b
22,963
8,855
52.0
60.4
7.0
16.4
9.0
1990b
20,411
7,803
49.6
60.3
7.7
18.1
8.9
19892b
18,925
7,209
49.8
60.4
8.2
19.3
9.1
"Full year analysis files were not developed for the years prior to 1989.
ᵇPrior to fiscal year 1993, food stamp cases from Guam and the Virgin Islands were excluded from the analysis files.
°Beginning In 1995, disabled households are defined as households with at least one member under age 65 who
received SSI, or at least one member age 18 to 61 who received Social Security, veterans benefits, or other
government benefits as a result of a disability. For years prior to 1995, disabled households are defined as
households with SSI but no members over age 59. The substantial increase in the percentage of households with
a disabled member between 1994 and 1995 is due in part to the change in the definition of disabled households.
Using the previous definition, 13.3 percent of households included a disabled person in fiscal year 1995.
Source: Food Stamp Quality Control samples.
FSP Participants: FY 1988 - 1998
29,000,000
27,000,000
25,000,000
23,000,000
People
21,000,000
19,000,000
17,000,000
15,000,000
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998*
Year
12/1/98
Who is Leaving the Food Stamp Program?
Detailed Table
Participants
Participants
Paticipation
Percent
Percent of
Subgroup as
Subgroup
in 1994
in 1997
Change in
Decline from
% of 1997
(In thousands)
(in thousands)
(in
Participation
Subgroup
Legal Permanent
Resident Aliens
5-6%
1,537
706
831
54.07%
14.01%
Childless
Unemployed
4,2%
1,148
648
500
43.55%
8.43%
Adults
AFDC/TANF
Reciplents
13,052
9,442
47.5%
3,610
27.66%
60.87%
All Other
Participants
11,697
10,707
990
8.46%
16.69%
39%
Total
Participants
27,434
21,503
5,931
21.62%
100.00%
Notes:
1. Participation obtained from July-September Food Stamp Program Quality Control data for 1994 and 1997.
2. All subgroups are mutually exclusive. Childless unemployed adults do not include Legal Permanent Resident
aliens. Likewise, AFDC/TANF recipients do not include aliens or childless unemployed adults.
SINGLE PARENT FAMILIES:
1989, 1994, and 1997
Number of Single Parent Families on Food Stamps by Welfare Receipt and Presence of Earnings:
1989, 1994, and 1997
5,000
DRAFT
4,500
568
4,000
708
3,500
614
297
3,000
Households (in thousands)
324
780
2,500
334
208
325
2,000
1,500
3,022
1,000
2,094
2,097
500
0
1989
1994
1997
Year
Single parent households with no earnings and no AFDC/TANF
Single parent households with earnings and no AFDC/TANF
Single parent households with AFDC/TANF and earnings
Single parent households with AFDC/TANF and no earnings
12/1/98
Changes in the Number of Single Parent Participants on Welfare and Not on Welfare
3,500
DRAFT
3,000
2,500
Number (in thousands)
2,000
1,500
1,000
500
0
1989
1994
1997
Single parent households on welfare
Single parent households not on welfare
12/1/98
includes is 490mp
I "day"
TWO GROUPS AFFECTED BY
WELFARE REFORM:
LEGAL IMMIGRANTS AND
UNEMPLOYED CHILDLESS
ADULTS AGED 18-59
1989, 1994, and 1997
Decline in participation among legal immigrants and childless unemployed adults in the wake of
welfare reform
1,600
DRAFT
1,400
1,200
1,000
Number (in thousands)
800
600
400
200
0
July-96
August-96
September-96
October-96
November-96
December-96
January-97
February-97
March-97
April-97
May-97
June-97
July-97
August-97
September-97
Permanent Resident Aliens
Unemployed Childless Adults
12/1/98
Desired Dres not
sholfund
3 Goof 150mg road wood
Immigrant Participants by Citizen/Alien Status:
1989, 1994, and 1997
2,500
DRAFT
2,000
339
1,500
Number
235
1,000
1,453
234
547
500
582
437
264
131
0
1989
1994
1997
Year
Naturalized citizens
Permanent Residents
Refugees
12/1/98
Changes in the Number of Childless Unemployed Adult Participants:
1989, 1994, and 1997
DRAFT
1,400
1,309
1,200
1,000
833
800
Number
652
600
400
200
0
1989
1994
1997
Year
12/1/98
ELDERLY FOOD STAMP
PARTICIPANTS
1989, 1994, and 1997
Number of Aged Food Stamp Participants: 1989, 1994, and 1997
2,000
DRAFT
1,800
1,600
1,400
1,200
Number (in thousands)
1,000
800
600
400
200
0
1989
1994
1997
Year
12/1/98
CHANGES IN THE
RACIAL/ETHNIC
COMPOSITION OF THE FOOD
STAMP CASELOAD
1989, 1994, and 1997
The Racial/Ethnic Composition of FSP Participants: 1994 and 1997
FY 1994
Other
5%
RAFT
Hispanic
19%
White
41%
Black
35%
FY 1997
Other
4%
Hispanic
19%
White
41%
Black
36%
12/1/98
Racial Composition of AFDC/TANF Participants:
1994 and 1997
FY 1994
Other
7%
DRAFT
Hispanic
White
21%
34%
Black
38%
FY 1997
Other
6%
Hispanic
White
22%
33%
Black
39%
12/1/98
Welfore Reups
pereary f S,
Racial Composition of Childless Unemployed Adults:
1994 and 1997
FY 1994
DRAFT
Other
Hispanic
4%
7%
White
44%
Black
45%
FY 1997
Other
3%
Hispanic
14%
White
37%
Black
46%
12/1/98
TABLES WITH UNWEIGHTED
QUALITY CONTROL DATA
FROM 1989, 1994, 1997, and
PRELIMINARY 1998 FILES
Sources of Income Using Unweighted Quality Control Data:
1989, 1994, 1997, and 1998 preliminary data
45.00%
DRAFT
40.00%
35.00%
30.00%
25.00%
Percent
20.00%
15.00%
10.00%
5.00%
0.00%
1989
1994
1997
1998
Year
Welfare for Families
'Welfare for Single Adults
Supplemental Security Income
Social Security
Earnings
12/1/98
Percent of Caseload that are Legal Immigrants or Childless Unemployed Adults
(Using Unweighted Data):
1989, 1994, 1997, and 1998 Preliminary Data
DRAFT
4.00%
3.50%
3.00%
2.50%
Percent
2.00%
1.50%
1.00%
0.50%
0.00%
1989
1994
1997
1998
Year
Aliens
ABAWDs
12/1/98
Jenny genser
703- 305- 2152
Jenny genser @fcs. @ usda . gov
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DTO data
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"ocrText": "Who Receives Food Stamps Today?\nMost food stamp recipients are children or elderly. Over half (51\npercent) are children and another 8 percent are age 60 or older. Working-\nage women represent 29 percent of the caseload, while working-age men\nrepresent 12 percent.\nThe majority of food stamp households do not receive AFDC or\nTANF benefits. Only 35 percent do so. Other cash assistance received\nby food stamp households includes Supplemental Security Income (27\npercent of households), Social Security (21 percent) and State General\nAssistance benefits (6 percent). Nine percent of households have no\nincome of any kind.\nMany food stamp recipients work. Twenty-four percent of food stamp\nhouseholds have earnings, and for these households, earnings are the\nprimary source of income.\nFood stamp households have little income. Only 9 percent are above\nthe poverty line, while 40 percent have incomes at or below half the\npoverty line. The typical food stamp household had gross income of $558\nper month and received a monthly food stamp benefit of $169. Nearly\none-fourth of monthly available funds (cash income plus food stamps)\navailable to a typical household comes from food stamps.\nFood stamp households possess few resources. The average food stamp\nhousehold possesses only about $92 in countable resources (including\nvehicles, checking and savings accounts, and other savings).\nMost food stamp households are small. The average food stamp\nhousehold size was 2.4, but varied considerably by household\ncomposition. Households with children were relatively large, averaging\n3.4 members. Households with elderly members tended to be smaller,\nwith an average size of 1.3 people.\n12/1/98 FY 1997 data\nFAX COVER SHEET\nOFFICE OF ANALYSIS AND EVALUATION\nFOOD AND CONSUMER SERVICE, USDA\n(Office: 703-305-2019)\n(Fax: 703-305-2576)\nDATE: 3-26-99\nTO:\nERIC GOULD\nOFFICE:\nPHONE #:\nFAX PHONE #:\nFROM: STEVEN CARLIUN\nPHONE:\n# PAGES (Including cover page):\n9\nCOMMENTS:\nSECOND TRY\nse\n6/T'd S60'ON\nWH88 :8\n6661. '97 \"AHW\nWho Leaving the Food Stamp Program?\nAn Analysis of Caseload Changes from 994'to 1997\nUnited States Department of Agriculture\nOffice of Analysis, Nutrition, and Evaluation\nFood and Nutrition Service\nMarch 1999\nBackground\nThe number of people receiving food stamps\nThese questions cannot be answered\nfell by over 5.9 million\nbetween summer\nconclusively yet. However, an analysis of\n1994 and summer 1997,\nwith\nmost\nof\nthe\nfood stamp administrative data provides\ndecline occurring in the year between\nsome initial insights into the changes that\nSeptember 1996 and September 1997. This\nhave occurred in the Food Stamp Program.\ndecline occurred during a period of strong\nThis analysis examines FSP administrative\neconomic growth - unemployment fell,\ndata from 1994, when FSP caseloads\ninflation stayed low, and the percentage of\npeaked, and 1997, the most recent year when\nAmericans living in poverty fell slightly. In\nfull data are available. 1997 was a transition\nthe same period, Congress enacted and\nyear as States replaced the Aid to Families\nStates implemented sweeping reforms to the\nwith Dependent Children (AFDC) program\nFood Stamp Program (FSP) and to the\nwith Temporary Assistance for Needy\nnation's welfare programs.\nFamilies (TANF) and when changes to the\nFSP took effect. Thus this report provides\nSome point to the participation decline as\ninformation about caseload changes during\nproof that the strong economy is lifting all\nthe early stages of implementation This\nboats, providing job opportunities and higher\nanalysis focuses on those groups most\nwages for all, including low-income families\naffected by welfare reform - single parents,\nWelfare reform is credited with moving\nlegal immigrants, and unemployed childless\nmillions of families from dependence on the\nadults.\nstate to work.\nGeneral Trends\nHowever, others raise more\ntroubling\nquestions. Suppose familles are not leaving\nAs Table 1 shows, three major groups\nthe safety net for paid employment and self-\naccounted for almost all the drop in the food\nsufficiency but rather\nremain\npoor\nbut\nstamp caseload between 1994 and 1997.\nwithout assured access to\nsufficient food to\nThe number of legal immigrants fell by 54\nmeet their basic needs?\nSuppose people\npercent, accounting for 14 percent of the\nleaving welfare remain\neligible for food\ntotal decline. The number of childless\nstamps but don't realize\nthat these benefits\nunemployed adults fell by 44 percent,\nare still available to them?\nThese critics cite\naccounting for 8 percent of the total decline.\nthe increased demand for\nassistance at food\nFinally, the number of families receiving\npantries and soup kitchens as evidence that\nwelfare benefits fell by 28 percent. Because\ndeclining caseloads are not necessarily a sign\nthis group accounts for such a large share of\nof success.\nthe FSP caseload, they represented 61\nThis report was prepared by Jenny Genser. Office of Analysis. Nutrition, and Evaluation, based on data prepared\nby Scott Cody and Laura Castner of Mathematica Policy Research, Inc. The information presented in this report is\nbased on data collected by Food Stamp Program Quality Control data for fiscal years 1994 and 1997.\n6.2%\nS60'ON\nW988:8\n6661\npercent of the decline. Only 17 percent of\nwhile the number of single-parents receiving\nthe decline came from other groups,\nAFDC or TANF benefits fell overall, the\nincluding elderly, the\ndisabled,\nand\nnumber of those who combined welfare with\nhouseholds with earnings\nand no welfare\nwork also rose by 9 percent. This points to\nincome.\nan increased reliance on work among single\nparents.\nThus, the steepest declines in participation\noccurred among legal\nimmigrants\nand\nHowever, it is important to note that the\nunemployed childless adults, the two groups\nnumber of single-parent households with no\naffected by tough new restrictions under\nincome from either welfare or work also rose\nwelfare reform. However, most of the\nby 9 percent. Also, the number of single-\nreduction occurred among the large group of\nparent food stamp households receiving\ncash welfare households.\nwelfare dropped by nearly 900,000, while the\nnumber not receiving welfare rose by only\nTrends Among Single Parent Families\n120,000. Because we only have data on\nfood stamp participants, we don't know\nAmong other changes, welfare reform was\nwhether the households leaving both welfare\ndesigned to move families from welfare to\nand food stamps found jobs and are\nwork. The Aid to Families with Dependent\neconomically independent, or are\nProgram (AFDC), which was an entitlement\nunemployed and in need.\nfor needy single parents with children, was\nreplaced by block grants to States to operate\nTrends Among Legal Immigrants\nthe Temporary Assistance to Needy Families\n(TANF), which was designed to provide\nWelfare reform legislation made most legal\nshort term assistance to help poor families\nimmigrants ineligible for food stamps. Those\nbecome economically self-sufficient\nwho were participating at the time the law\nwent into effect could participate until\nAs Table 2 shows, the number of single-\nSeptember 1997. New applicants became\nparent families, the group most affected by\nineligible starting October 1996.\nwelfare reform, fell by 17 percent. Within\nthis group, the number receiving AFDC or\nIn 1994, nearly 1.5 million legal immigrants\nTANF benefits fell by 27 percent but the\nreceived food stamps. This number dropped\nnumber of those not receiving welfare rose\nsharply after welfare reform was enacted.\nby 9 percent. This suggests that welfare\nThe number of legal immigrants receiving\nreform has been partially responsible for the\nfood stamps declined steadily throughout\ndrop in welfare caseloads Had it been solely\nlate 1996 and most of 1997 (Figure 1). The\nthe strong economy, the\nnumber\nof\nfood\ndecline was gradual throughout the year,\nstamp households with welfare and without\nrather than falling sharply between August\nwelfare would have both fallen by similar\nand September 1997. This indicates that as\namounts. It also suggests that at least some\ncurrent immigrants left the program, they\nfamilies that no longer\nreceive welfare\nwere not replaced by new immigrant\ncontinue to receive food stamps.\nparticipants.\nAmong single-parent families, the number of\nRestrictions on participation by legal\nthose with earnings rose by 10 percent And\nimmigrants appear to have deterred\n2\n6/8'd\nNO.095\nUSDA/FCS/OAE\nWHAR:8\n6661\nparticipation by their children, many of\ncaseload that they represent fluctuates.\nwhom retained their eligibility for food\nDuring periods of caseload expansion,\nstamps. Participation among U.S. born\nelderly households represent a declining\nchildren living with their legal immigrant\nshare of the food stamp population. During\nparents fell faster than participation among\nperiods of caseload decline, they represent a\nchildren living with native-born parents\nlarger share.\n(Table 3). The number of children living\nwith legal immigrants fell by 37 percent,\nChanges in Ethnic/Racial Composition\nversus 15 percent for children living with\nnative-born parents.\nSome have raised a concern that those\nfinding work and leaving welfare are\nThe number of naturalized citizens receiving\npredominantly non-Hispanic whites, leaving\nfood stamps rose by 173,000 between 1994\nthe welfare caseload even more\nand 1997, an increase of 66 percent (Table\ndisproportionately minority. The data do not\n4). This reflects the surge in naturalizations\nsupport this claim. The racial composition of\nstarting in 1993.\nthe food stamp caseload as a whole is\nvirtually unchanged between 1994 and 1997\nTrends Among Childless Unemployed\n(Figure 3), despite steep drops in\nAdults\nparticipation overall.\nWelfare reform restricted most childless\nThe same is true for AFDC/TANF recipients.\nunemployed adults to no more than three\nWhites left the food Stamp Program and\nmonths of food stamps in a\n36-month\nperiod,\nwelfare at the same rate as minorities. The\nunless they were employed or participating\nin\nnumber of whites receiving welfare and food\nqualified work programs.\nMany parts of the\nstamps between 1994 and 1997 fell by 32\ncountry were exempt from the work\npercent, compared to a 31 percent drop for\nrequirement and time limit, due to waivers\nAfrican Americans and a 27 percent drop for\ngranted to areas with high unemployment\nHispanics. As a result, the caseload\nrates or insufficient jobs.\ncomposition is very similar for both years.\nAs expected, the number of unemployed\nThe one group where the racial/ethnic\nchildless adults fell by 476,000, a drop of\ncomposition did change significantly is the\none third, between August 1996 and\nunemployed childless adult group subject to\nSeptember 1997 (Figure 2). This decline\ntime limits. While the proportion of blacks\nwas sharpest in the period between January\nin this group remained unchanged between\nand March, 1997, as States implemented the\n1994 and 1997, the proportion of whites fell,\ntime limits.\nwhile the proportion of Hispanics doubled.\nHowever, this is a relatively small group that\nTrends Among the Elderly\nmay be heavily affected by State waiver\npolicy.\nThe number of households with aged\nmembers dropped by 86,000 from 1994 to\nAbout the Data\n1997, a decline of less than five percent.\nOver time, the number of elderly receiving\nThe data come from Food Stamp Quality\nbenefits is very steady, while the share of the\nControl records. The cases are derived from\n3\nS60'ON\nW868:8\nMAR. 26. 1999\nState samples of caseloads pulled each\nmonth for a review on payment accuracy.\nRecords from all States for all months during\na fiscal year are combined into one file. Each\nyear, there are about 50,000 households\nrepresented in the data.\nThe files are then\nedited for consistency and weights are\nassigned.\nWe analyzed data from two years -- 1994,\nthe year participation peaked; and 1997, the\nmost recent year that we have complete data.\nLimitations of the Analysis\nThe analysis compares snapshots of the food\nstamp population at different points in time.\nIt does not follow individuals or families\nover a course of time, showing their\nmovements on and off jobs, welfare, or food\nstamps. Nor does this analysis provide any\ninformation about low-irlcome households\nnot receiving food stamps including former\nparticipants.\n4\n6/S'd\n560'0N\nUSDA/FCS/OAE\nWHAD:8\n6661 '97 XHW\nTABLE 1\nParticipation Changes from 1994 to 1997\n(in thousands)\nParticipants:\nParticipants\nParticipation\nPercent\nShare of\nSummer 1994\nSummer 1997\nChange\nChange\nDecline\nLegal\nPermanent\nResidents\n1,537\n706\n-831\n54%\n14%\nChildless\nUnemployed\nAdults\n1,148\n648\n-500\n-44%\n8 %\nAFDC/TANF\nParticipants\n13,052\n9,442\n-3,610\n-28%\n61%\nAll Other\nParticipants\n11,697\n10,707\n-990\n-8%\n17%\nTOTAL\n27,434\n21,503\n-5,931\n-22%\n100%\nTABLE 2:\nSingle Parent Households by Presence of Earnings and Welfare Receipt: 1994 and 1997\nHouseholds:\nHouseholds:\nParticipation\nPercent\n1994\n1997\nChange\nChange\nAll Single Parents\n4.595\n3,816\n-779\n-17%\nWith AFDC/TANF\n3,319\n2,422\n-897\n-27%\nWithout earnings\n3.022\n2,097\n-925\n-31%\nWith earnings\n297\n325\n28\n9 %\nWithout AFDC/TANF\n1.276\n1,394\n118\n9%\nWithout earnings\n568\n614\n46\n8 %\nWith earnings\n708\n780\n72\n10%\nWith earnings\n1.005\n1,10S\n100\n10%\n5\n6/9'd\nS60'ON\nUSDA/FCS/OAE\nWH00:8\n6661.92'86W\nFIGURE 1:\nLegal Immigrant Participants:\nAugust 1996 through September 1997\n1.800\n, 400\n,00\n000\nBOD\nNumber on\n000\n400\n200\n0\n$\na\nMy\nwas\nSaptember-06\nOctober-Df\nHomema 8\nDer Derector's 10\n-\nFatury\nWith\nApril #\nMay 187\nAre-91\nand\nA\nSectimes BY\n.\nTABLE 3:\nNumber of Children Participating by Citizenship Status of Parents:\nOctober 1996 and September 1997\n(in thousands)\nParticipants:\nParticipants:\nParticipation\nPercent\nOctober 1996\nSeptember 1997\nChange\nChange\nChildren Living\nwith Legal\nImmigrants\n1,251\n742\n434\n37%\nChildren Not\nLiving with Legal\nImmigrants\n11,034\n9,804\n1,682\n15%\n6\nP.7/9\nS60'ON\nWHOD 8\nMAR. 26. 1999\nTABLE 4:\nNumber of Legal Immigrants by Status: 1994 and 1997\n(in thousands)\nParticipants:\nParticipants:\nParticipation\nPercent\n1994\n1997\nChange\nChange\nPermanent\nResident Aliens\n1,453\n547\n-906\n- 62 %\nRefugees\n359\n235\n-104\n- 31 %\nNaturalized\nCitizens\n264\n437\n+173\n66%\nAll Legal\nImmigrants\n2,056\n1,219\n-837\n- 41 %\nFigure 2:\nChildless Unemployed Adults:\nAugust 1996 through September 1997\n1.200\n1 000\n800\nUnemployed Chedres AGUES\nHumber in thousands)\n600\n400\n200\nO\nX &\nAugust 96\nSeptember 96\nDctober-96\nNovember 96\nCocamber =\n= Amount\n= Fathery\n= Byd\nApril\nMay91\nJune-97\nrev-97\nAugust-97\nSeptember-97\n- ---\n7\n6/8'd\nS60'ON\nUSDA/FCS/OAE\nMAR.26.1999 8:41AM\nFigure 3\nRacial Composition of Food Stamp Participants Receiving Welfare: 1994 and 1997\nOther\nFY 1994\n5%\nHispanic\n19%\nWhite\n41%\nBlack\n35%\nOther\nFY 1997\n4%\nHispanic\n19%\nWhite\n41%\nBlack\n36%\n8\n6/6'd d\nS60'ON\n8:41AM\nMAR.26.1999\nFAX COVER SHEET\nOFFICE OF ANALYSIS AND EVALUATION\nFOOD AND CONSUMER SERVICE, USDA\n(Office: 703-305-2019)\n(Fax: 703-305-2576)\nDATE: 5-25-99\nTO: EXIC GOULA\nOFFICE: DPC\nPHONE #:\nFAX PHONE #: (202)456-7431\nFROM: STEVEN CARLSON\nPHONE: (703) 305-2134\n8\n# PAGES (Including cover page):\nCOMMENTS:\nERIC: I JUST GOT YOUR 5/20 B-MAIL ASKING\nFOR FAXOO COPY OF MATORIAL on PARTICIPATION\nDECLINE. HERE. IS Thto ENTIRE PACK760 some\nOF UNICH I FAX50 TO YOU AND KOWIN LAST .\nTHURSDAY. AA\nse\nNO.024 P.1/8\nWH80:8\nNOT FOR ATTRIBUTION, CITATION, OR PUBLICATION\nMay 20, 1999\n-DRAFT--\nUnderstanding Food Stamp Program Caseload Decline\nIn February 1999, the Food Stamp Program served 18.29 million people, the fewest in nearly 20\nyears. The number of people receiving food stamps over the past five years has fallen by 9.7\nmillion, a drop of over one-third. This trend far outpaces the decline in poverty. Between 1995\nand 1997, food stamp participation fell five times as fast as poverty. A forthcoming GAO report\nwill note that the decline in the number of children participating in the program between 1994 and\n1997 substantially outpaced the decline in the number of children living in poverty, resulting in a\nsubstantial fall in the percentage of poor children receiving food stamps.\nAt least five factors contribute to the decline in food stamp participation:\nChanges in program rules under welfare reform restricted the participation of immigrants\nand unemployed childless adults.\nThe strength of the Nation's economy allowed some participants to find work, reducing their\nneed for food stamps.\nThe success of the Temporary Assistance for Needy Families (TANF) Program moved\nsome participants from welfare to work, with an increase in income sufficient to eliminate the\nneed for food stamps.\nBarriers to participation erected by some States and localities may have deterred some\neligible individuals from applying, or resulted in some participants leaving the program despite\ntheir continued eligibility.\nLack of awareness of eligibility for the program may have led some participants to leave the\nprogram unnecessarily and discouraged others from applying for benefits.\nThere is little reason for concern about falling participation if it is largely due to the first three of\nthese factors - the expected consequences of economic growth and welfare reform. There is\ngreater reason for concern and a potential need to explore policy options to redress problems to\nthe extent that falling participation is attributed to the last two factors.\nUnderstanding the relative importance of these factors represents a complex analytical program.\nBy piecing together information from a variety of sources (with different degrees of reliability),\nwe can begin a preliminary assessment of their contribution. This analysis is limited to the period\nbetween March 1994, the month in which food stamp participation peaked, and September 1997,\nthe last month for which we have relatively complete information Over this period, food stamp\nparticipation dropped by just under 7 million people.\nAs shown in Table 1, this preliminary assessment suggests that roughly 20 percent of the decline\nin food stamp participation over this period was due to new limits on immigrants and unemployed\njobless adults, roughly 30 percent was due to success of economic expansion and welfare reform\nin moving people into jobs, roughly 32 percent was due to a decline in participation rates among\notherwise eligible individuals, and roughly 18 percent was left unexplained.\n8/2'd\nNO.024\nUSDA/FCS/OAE\nWH82:8\n6661\nTable 1\nExplaining the Drop in Food Stamp Participation: March 1994 - September 1997\nNumber of\nRelative\nParticipants\nContribution\nSource\nNet change in participation\n6,974,000\n100%\nFNS administrative records\nWelfare reform limits on:\nImmigrants\n1,053,000\n15\nFNS administrative records\nUnemployed adults\n327,000\n5\nFNS administrative records\nEmployment growth\n2,117,000\n30\nFNS forecast model\nLower participation rates\n2,198,000\n32\nPreliminary estimates from\nCurrent Population Survey\nAll other/unknown\n1,279,000\n18\nChanges in Program Rules\nThe food stamp provisions of welfare reform restricted the participation of many legal immigrants\nand unemployed childless adults. The effect of these provisions can be seen in the drop in\nparticipation among these groups in the period immediately following enactment of the 1996\nwelfare reform law. From September 1996 until September 1997, 1,053,000 million legal\nimmigrants and 327,000 childless adults ceased to participate in the Food Stamp Program.\nTogether, these two groups account for 20 percent of the March 1994 through September 1997\ndecline.\nThere may also have been a spill-over effect of the restrictions on legal immigrants. From\nOctober 1996 to September 1997, the number of U.S.-born children of legal immigrants receiving\nfood stamps fell by 509,000, a drop of 41 percent, despite the fact that these children remained\neligible. Had the number of these children fallen at the same rate as children of citizen parents,\n370,000 more children of immigrants would have participated in September 1997.\nEmployment Growth\nThe sustained strength of the U.S. economy has created millions of new jobs and welfare reform\nhas successfully moved many from welfare to work. As income rises, fewer people are eligible\nfor benefits; and among those who remain eligible, some may feel less need to seek government\nassistance. One model of the relationship between unemployment and participation suggests that\nabout 30 percent of the decline in food stamp participants between March 1994 and September\n1997 (2,117,000 people) may be traced to the reduction in the number of unemployed over the\n2\n8/8'\n200.00\n380/SD H/HASA\nWH87:8\nFAST .\nsame period. It is not possible to separate the effects of a strong economy from the independent\neffects of welfare reform's success.¹\nThere is reason to celebrate the significant expansion of job opportunities among low-income\nhouseholds. There is also reason to be cautious. Because baseline levels of employment and\nearnings for welfare participants were so low, even substantial improvements leave most families\nexiting welfare poor. And, as yet, there are few signs of substantial improvement in the count of\nfamilies and individuals officially poor. With the food stamp income limit set at 130 percent of the\npoverty line, many newly working families may continue to be eligible for food stamp benefits.\nFalling Participation Rates\nNot all persons eligible for benefits actually participate in the program. Falling participation rates\nmay be symptomatic of barriers to participation erected by some States or localities² or a lack of\nawareness of continued eligibility by some. Preliminary evidence suggests that participation rates\namong those who are neither non-citizens nor unemployed childless adults fell significantly over\nthis period (from 82 percent in 1994 to 69 percent in 1997), accounting for 32 percent (or\n2,198,000 people) of the caseload decline. Table 2 shows that the drop in participation rates was\nsharpest among households with children and more than one adult.\nThe Characteristics of Leavers\nAs Table 3 shows, three major groups accounted for almost all the drop in food stamp caseload\nbetween 1994 and 1997. The number of legal immigrants fell by 54 percent, accounting for 14\npercent of the total decline. The number of childless unemployed adults fell by 44 percent,\naccounting for 8 percent of the total decline. Finally, the number of persons in families receiving\nwelfare benefits fell by 28 percent. Because they make up such a large share of the food stamp\ncaseload, they account for 61 percent of the overall decline. Thus, the steepest declines in food\nstamp participation occurred among legal immigrants and unemployed childless adults, the two\ngroups whose eligibility for food stamps was directly curtailed by the 1996 welfare reform law.\nHowever, most of the reduction occurred among the large group of families receiving cash\nassistance.\nI\nThis estimate is based on a simple forecast model relating the number of unemployed in the current and lagged\nquarter to the number of participants with a set of seasonal dummy variables. While not developed to explain\nhistorical participation levels, it suggests the magnitude of the relationship between changes in unemployment and\nchanges in program participation. This estimate is consistent with Wallace and Blank (1999) who suggest that\ndeclining unemployment rates can explain 28 to 44 percent of the food stamp caseload decline through 1996.\n2 During the past year, FNS regional offices have reviewed access to programs in New York, Oregon, and\nWisconsin in response to complaints from advocacy groups and a member of Congress. Each review has identified\nbarriers that make the Food Stamp Program less accessible to cligible people.\n3\nP.4/8\n20 ON\n360/S0 H/HASO\nWH67:8\n6661\nTable 2\nParticipation Rates Among Those in Households\nwith No Non-citizens or Unemployed Childless Adults\nNumber of Eligibles\nParticipation Rate\nIndividuals in:\n1994\n1997\n1994\n1997\nChange\nHouseholds with single parents\n12,995,000\n12,118,000\n95.8\n86.2\n-9.6\nwith earnings\n4,166,000\n4,893,000\n63.0\n67.7\n4.7\nwithout earnings\n8,829,000\n7,225,000\n111.3\n98.7\n-12.6\nOther households with children\n7,550,000\n6,887,000\n96.3\n74.8\n-21.5\nwith earnings\n4,667,000\n4,460,000\n77.2\n64.0\n-13.1\nwithout earnings\n2,883,000\n2,427,000\n127.3\n94.6\n-32.6\nHouseholds with elderly\nmembers and no children\n5,274,000\n5,261,000\n30.6\n27.9\n-2.7\nOther households\n2,681,000\n3,222,000\n70.2\n57.3\n-13.0\nAll Individuals\n28,500,000\n27,489,000\n81.5\n68.9\n-12.6\nSource: Food Stamp Program Quality Control (1994 and 1997); Current Population Survey (March 1995 and\nMarch 1998).\nTable 3\nComposition of Food Stamp Caseload: 1994 - 1997\nNumber of Participants\nSummer\nSummer\nChange\nPercent\nShare of\n1994\n1997\nChange\nDecline\nLegal permanent residents\n1,537,000\n706,000\n-831,000\n-54%\n14%\nChildless unemployed adults\n1,148,000\n648,000\n-500,000\n-44%\n8 %\nAFDC/TANF participants\n13,052,000\n9,442,000\n-3,610,000\n-28%\n61%\nAll other participants\n11,697,000\n10,707,000\n-990,000\n-8%\n17%\nAll participants\n27,434,000\n21,503,000\n-5,931,000\n-22%\n100 %\nSource:\nReproduced from Table 1 in Who is Leaving the Food Stamp Program? An Analysis of Caseload\nChanges from 1994 to 1997, Food and Nutrition Service, USDA, March 1999.\n4\n8/S'd\nNO.024\n360/SD3/60S0\nWHAT:8\n6661\n- - DRAFT- -\nP.6/8\nExplaining the Drop in Food Stamp Participation: March 1994 - September 1997\nFactor\nEffect\nContribution\nSource/Derivation\n(000's)\nNO.024\nFNS National Data Bank (number of participants):\nParticipation Change\n6,974\n100%\nMarch 1994\n27,965\nSeptember 1997\n20,991\nChange\n6,974\nCharacteristics of Food Stamp Households: Fiscal Year 1997, Tables B-1, B-3:\nWelfare Reform\nPermanent Resident\nUnemployed Childless\nLimits on:\nAliens\nAdults\nImmigrants\n1,053\n15\nSeptember 1996\n1,600\n989\nSeptember 1997\n547\n662\nUnemployed\n327\n5\nChange\n1,053\n327\nAdults w/o\nchildren\nDerived from FNS forecast model (based on current and lagged quarterly\nnumber of seasonally-unadjusted unemployed and seasonal dummy variables).\nEmployment Growth\n2,117\n30\nModel implies a net change of 83 participants for every 100-person change in\nDue to Economic\nthe number unemployed:\nMAY.25.1999 8:50AM USDA/FCS/OAE\nStrength and\nNumber Unemployed\nWelfare Reform\n1994:Q2\n9,209\n1997:Q4\n6,659\nChange\n2,550 X .83 = 2,117\nNote: Wallace and Blank (1999) suggest that declining unemployment rates can\nexplain about 28 to 44 percent of the food stamp caseload decline through\n1996.\nWorking Draft: Do Not Attribute, Cite or Publish\nP.7/8\nApproximates change in participation decisions of persons eligible for benefits\nindependent of economic improvements. Assumes improved economy (1) reduces\nParticipation\n2,198\n32\nthe number of persons eligible for benefits and (2) reduces the perceived need\nNO.024\nReductions among\nfor assistance for some, reducing participation among otherwise eligible people.\nEligibles\nIndependent of\nDerived from preliminary CPS-based estimates of participation rates for\nEconomic Growth\nindividuals in households with neither noncitizens nor unemployed adults without\nchildren (since participation effects of welfare reform restrictions on these\ntwo groups are captured earlier):\nEligible\nParticipating\nParticipation Rate\nAugust 1994\n28,500\n23,223\n81.5\nSeptember 1997\n27,489\n18,912\n68.8\nChange\n1,011\n4,311\n12.7\nReduction in participation due to falling number of eligibles (arguably due to\nimproved economy):\n1,011 X .815 = 824\nReduction in participation due to falling participation rates (some of which may\nbe due to improved economy): 27,489 X 127 = 3,491\n8:50AM USDA/FCS/OAE\nTotal reduction (equal to 824 + 3,491)\n4,315\nPreviously assigned to economy\n2,117\nNet reduction\n2,198\nAll Other/Unknown\n1,279\n18\nMAY.25.1999\nMay 19, 1999\nDRAFT\nTABLE I\nP.8/8\nFSP PARTICIPATION RATES IN 1994 AND 1997 FOR SELECTED SUBGROUPS\n1994\n1997\nChange\nParticipation\nPurticipation\nParticipation\nEligibles\nParticipants\nRate\nEligibles\nParticipants\nRate\nEligibility\nParticipation\nRate\nNO. NO.024\nIndividuals in\n(000s)\n(000s)\n(percen!)\n(000s)\n(000x)\n(percent)\n(percent)\n(percent)\n(points)\nHouseholds with permanent resident aliens\n6.373\n3.072\n48.2\n1,167\n968\n82.9\n-81.7\n-68.5\n34.7\n) louseholds with ABAWDs¹\n1,680\n1,220\n72.6\n649\n582\n89.7\n-61.4\n-52.3\n17.1\nHouscholds with single parents²\n12,995\n12,455\n95.8\n12,118\n10,446\n86.2\n-6.7\n-16.1\n-9.6\nwith earnings\n4,166\n2,624\n63.0\n4,893\n3,313\n67.7\n17.5\n26.3\n47\nwith no earnings\n8,829\n9,831\n111.3\n7,225\n7,133\n98.7\n-18.2\n-27.4\n-12.6\nOther households with children²\n7.550\n7,271\n96.3\n6,887\n5,154\n74.8\n-X.R\n-29.1\n-21.5\nwith carnings\n4.667\n3.601\n77.2\n4,460\n2.856\n64.0\n-4.4\n-20.7\n-13.1\nwith no earnings\n2.883\n3,669\n127.3\n2,427\n2,297\n94.6\n-15.8\n-37.4\n-12.6\nHouseholds with elderly and no children\n5.274\n1.615\n30.6\n5,261\n1,468\n27.9\n-0.2\n-9.1\n-27\nOther households\n2,681\n1.8M3\n70.2\n3,222\n1.846\n57.3\n20.2\n-2.0\n-13.0\nTotal Individuals\n36,553\n27.515\n75.3\n29,305\n20,462\n69.8\n-19.8\n-25 n\n-5 4\nSources: 1994 and 1997 IQCS Datalites. 1995 and 1998 CPS Datailes\nNo permanent resident aliens\n'N₁ ABAWDs or permanent resident aliens\nUSDH/F US/UHE\nМНИС:Р\nCD. 1999\nJ. Eric Gould\n04/05/99 06:01:54 PM\nRecord Type:\nRecord\nTo:\nCynthia A. Rice/OPD/EOP\nCC:\nSubject: FS Caseloads\nI put together a group from OMB, CEA and USDA to discuss FS caseloads and we reconvened\ntoday for our second meeting. I wanted to focus on 1) comparing take up rates over recent years;\nand 2) economic data that could help explain the caseload anomaly. I have people more focused\nnow but we are creating questions faster than we are coming up with answers.\n1) Take up rates. March CPS data is in (covers FY97 caseloads). USDA is really concerned that\nthe numbers are really screwed up since it shows that there are 6 million less eligibles than in\nFY96. The good news is that if the numbers are correct than the take-up rate is actually going up\na little from 68 % in FY96 to 70% in FY97. But at this point that type of drop in eligibility is very\ndifficult to explain since poverty levels didn't change to near that extent. The #1 assignment for\nthe week is to try to get a handle on the accuracy of the new CPS data. USDA said that they\nwould provide the resources to do so. The data indicated that of the 6 million decrease in eligibles,\nthere were 3 million fewer eligible legal immigrants. Again, this was much higher than expected\nand might be attributable to a) bad data; or b) underestimation of the # of eligible LI to begin with,\nwhich is possible because the old methodology (pre 1994) was fairly poor.\nBecause the estimate on eligibles is still so shaky we didn't spend a lot of time discussing what\ncould have caused a sharp decrease in those numbers but not reflect increased income through\npoverty stats. A preliminary response was that these low-income folks could be doing a better job\ncollecting assets, like a car.\n2) Economic data. The effect of unemployment rates on caseloads needs to be completely\nreexamined. The basis for these models is 25 years old. Currently, we have no way to measure\nthe effect of prolonged economic expansion and the added effect of low-unemployment pushing up\nwage scales. We are at a point were the bottom of the income bracket is doing better than they\nhave ever done before but we are not sure how to measure what that would do to FS caseloads.\nBob and Becky are looking at this question and they are talking to outside economists about it but\nthey claim that this is a complicated question that makes a quick answer difficult.\nSo for next week we will examine: 1) the believability of the eligible (specifically legal immigrants)\ndata from March, 1998 CPS; and 2) what we can say or discern from changes in the wage\nstructure for FS eligibles and the effects of very low unemployment.\nFrom the info. we have right now, it's possible that the same % of folks receiving FSs is staying\nsteady and even going up a little but that the number of those eligible is taking a big whack.\nMINTHIA\nFAX COVER SHEET\nOFFICE OF ANALYSIS AND EVALUATION\nFOOD AND CONSUMER SERVICE, USDA\n(Office: 703-305-2019)\n(Fax: 703-305-2576)\nDATE: 3-29-99\nTO:\nEMC Gould\nOFFICE:\nPHONE #:\nFAX PHONE #:\nFROM: Snova CARLSON\nPHONE:\n# PAGES (Including cover page):\nCOMMENTS:\nFYI\nTHIS was PULLISO TO60THX R LAST WOOK FUK\nKEASOUS UNKORAND TO THE OFFICE TO\nORPLAIN No FSP BLOP, BUT IT HAS sumis\nVALUE AS BACKGROUND\na\nP.1/2\nNO.134\nUSDA/FCS/OAE\nW802:21 6661'62'860\nMarch 30, 1999\nNOTE FOR ERIC GOULD\nFROM:\nSteven Carlson\nSUBJECT:\nFood Stamp Participation Decline\nFYI, I tried to implement the framework that I think we've all agreed to pursue to quantify the factors\ncausing the decline in food stamp participants (attached). The basic structure is as follows:\n(1) Calculate the drop in participation for a particular period (March 1994 to September 1997 in the\nattached table; March is selected as the peak, September as the last month for which we have\ndetailed characteristic information).\n(2) Estimate the number of persons made ineligible by welfare reform restrictions (chiefly on\nimmigrants and unemployed childless adults). These figures are drawn directly from two tables in\nthe recently released Characteristics of Food Stamp Households: Fiscal Year 1997; they differ\nsomewhat from the figures sent last week since they are the observed differences in the number of\nthese participants between the two selected months (rather than fiscal year or quarterly\ndifferences).\n(3) Estimate the effect of the economy. This step is, I believe, poorly estimated here, but hopefully\nmight be improved with the work you and Bob are undertaking.\nThe estimate presented is derived from an internal Agency model of food stamp participation. It is\nsparsely specified, consisting of measures of the number of unemployed people (not seasonally\nadjusted) in the current and a lagged quarter plus a set of quarterly dummy variables. The model\nis estimated from a quarterly time series dating from 1977. From the model forecast, we derived\nan estimate of the effect of changes in unemployment on food stamp participation (83 participants\nfor every 100-person change in the number unemployed).\nThere are few reasons to be confident in this particular adjustment. The forecast model did not\nperform particularly well during the run-up in food stamp participation during the late 1980s and\nearly 1990s, nor has it performed well during the more recent decline. The model is sparsely\nspecified, providing a meager proxy for economic changes and failing to account for significant\nprogram changes. I've included it here only for the purpose of illustration.\n(4) Net out effect of eligibility restrictions and economy, leaving an unexplained residual.\nCall with questions on (703) 305-2134.\nAttachment\nP.2/3\nNO. 161\nUSDA/FCS/OAE\n3:44PM\nMAR. 30. 1999\nPreliminary Decomposition of Food Stamp Participation Change\nPermanent Resident\nUnemployed\nAll Participants\nAliens\nChildless Adults\nMarch 1994\n27,965\n1,501\n1,320\nSeptember 1997\n20,991\n-6,974\n547\n-954\n662\n-658\nDecember 1998\n18,618\n-9,347\nn/a\nn/a\nn/a\nn/a\n# Unemployed\n1994 Q1\n9,209\n1997 Q4\n6,659\n-2,550 X .83 =\n-2,117\nMarch - Sep Drop\n-6,974\nImmigrants\n-954\n0.14\nABAWDS\n-658\n0.09\nSubtotal\nUnemployment\n-2,117\n0.30\nUnknown\n-3,246\n0.47\n1.00\nNotes:\n(1) Estimates of permanent resident aliens and unemployed childless adults from\nCharacteristics of Food Stamp Households, Fiscal Year 1997, Tables B-1 and\nB-3.\n1pt\nUR:\n(pt\nfs/\n(2) Estimate of effect of unemployment on food stamp participation derived from\nFNS forecast model (based on quarterly number of unemployed (seasonally\nunadjusted and set of quarterly dummy variables). Model implies that a net\nchange of 83 participants for every 100-person change in number unemployed.\n! Participation rate\nof eligibles\nChepser 3\nMarch 30, 1999\n2. # g total eligibles,\nand tabe up-\n3. Laged effects of wage VS. UR,\nP.3/3\n191.19\nUSDA/FCS/OAE\n3:44PM\n1999 \"0E MARK\nFood and Nutrition Service\nUS Department of Agriculture\nNational Data Bank V 5.0\nMarch-94\nDecember-98\n3/23/99\nState /\nFS PROGRAM\nFS PROGRAM\nDifference\nTerritory\nPART ACTUAL\nPART ACTUAL\nDec 98 Mar 94\nALABAMA\n561,803\n415,270\n-146,533\nALASKA\n51,692\n15,680\n-36,012\nARIZONA\n512,288\n259,935\n-252,353\nARKANSAS\n290,212\n256,378\n-33,834\nCALIFORNIA\n3,191,890\n2,062,101\n-1,129,789\nCOLORADO\n275,765\n180,083\n-95,682\nCONNECTICUT\n225,044\n183,118\n-41,926\nDELAWARE\n61,717\n42,482\n-19,235\nDISTRICT OF COL\n$2,427\n85,344\n-7,083\nFLORIDA\n1,469,271\n967,349\n-501,922\nGEORGIA\n826,295\n633,555\n-192,740\nGUAM\n15,058\n18,895\n3,837\nHAWAII\n115,461\n126,249\n10,788\nIDAHO\n88,094\n58,411\n-29,683\nILLINOIS\n1,207,279\n840,288\n-366,993\nINDIANA\n543,248\n301,485\n-241,763\nIOWA\n203,883\n128,493\n-75,390\nKANSAS\n197,340\n113,104\n-84,236\nKENTUCKY\n536,337\n396,813\n-139,524\nLOUISIANA\n763,280\n531,415\n-231,865\nMAINE\n141,742\n109,656\n-32,086\nMARYLAND\n399,877\n295,722\n-104,155\nMASSACHUSETTS\n451,344\n274,751\n-176,593\nMICHIGAN\n1,047,450\n723,807\n-323,643\nMINNESOTA\n323,939\n207,606\n-116,331\nMISSISSIPPI\n519,006\n295,042\n-223,964\nMISSOURI\n606,179\n408,118\n-198,061\nMONTANA\n74,280\n61,069\n-13,211\nNEBRASKA\n113,484\n98,019\n-15,465\nNEVADA\n$8,977\n64,777\n-34,200\nNEW HAMPSHIRE\n63,760\n37,931\n-25,829\nNEW JERSEY\n554,501\n394,452\n-160,049\nNEW MEXICO\n251,655\n182,559\n-69,096\nNEW YORK\n2,175,154\n1,577,854\n-597,300\nNORTH CAROLINA\n646,230\n498,053\n-148,177\nNORTH DAKOTA\n47,459\n33,654\n-13,805\nOHIO\n1,269,050\n661,747\n-607,303\nOKLAHOMA\n382,926\n280,798\n-102,128\nOREGON\n298,653\n224,513\n-74,140\nPENNSYLVANIA\n1,243,533\n842,332\n-401,201\nRHODE ISLAND\n96,336\n76,913\n-19,423\nSOUTH CAROLINA\n390,940\n320,011\n-70,929\nSOUTH DAKOTA\n55,200\n43,529\n-11,671\nTENNESSEE\n747,371\n520,315\n-227,056\nTEXAS\n2,764,395\n1,460,671\n-1,303,724\nUTAH\n131,124\n90,222\n-40,902\nVERMONT\n65,475\n44,953\n-20,522\nVIRGINIA\n571,254\n370,069\n-201,185\nVIRGIN ISLANDS\n19,632\n17,062\n-2,570\nWASHINGTON\n483,004\n326,240\n-156,764\nWEST VIRGINIA\n333,260\n250,995\n-82,265\nWISCONSIN\n334,900\n183,752\n-151,148\nWYOMING\n34,698\n24,037\n-10,661\nUnited States\n27,965,172\n18,617,677\n-9,347,495\n2/2'd\nNO.134\nUSDA/FCS/OAE\nW802:21 6661.62.86W\nCFA\nSheet1\nNumber of Participants\nUnemployed\nPermanent\nChildless Adult\nParticipants\nResident Aliens\n(ABAWDS)\nMar-94\n27,965\n1,501\n1,320\nSep-97\n20,991\n547\n662\nDec-98\n18,618\nn/a\nn/a\nChange from 3/94 to 9/97\nParticipants: 3/97\n27965\nC17\n(1) Drop due to Aliens\n-954\nC18\n(2) Drop due to ABAWDS\n-658\nC19\n(3) Drop due to economy\n-2530\n(1)-(3)\n-4142\nActual decline\n-6974\n% of change explained by:\nAliens\n13.7%\nABAWDS\n9.4%\nEconomic conditions\n36.3%\nAll other factors\n40.6%\nOther potential factors:\n1. Reform of AFDC in 1996\n(C17+C18+C19) (65-4.9)*(0.06)\nPage 1\nJ. Eric Gould\n03/31/99 02:30:47 PM\nRecord Type:\nRecord\nTo:\nCynthia A. Rice/OPD/EOP\nCC:\nSubject: Food Stamp Caseloads\nOur research group is making a little headway. Unfortunately, 40-45 percent of the caseload\nreduction can not be explained through any modeling techniques available. A problem is that we\ncan't just attribute it to \"whatever welfare reform, be it good or bad, is doing\" to the caseload.\nThere are unknown possible economic effects that could have significant influence but we are not\nsure. These effects caused by \"great prolonged economic conditions\" are hotly debated in\neconomic circles right now and also at CEA. Becky is one of the leading proponents of the theory\nthat prolonged economic success creates affects among low-income individuals that we are not yet\nable to measure. For example, the standard economic model to predict FS caseloads is the\nunemployment rate (for every 1% increase in unempl. the FS caseload is supposed to increase 6%)\nbut in a tight labor market the unemplo. rate has gone so low that wages get pushed up and have a\ndifferent but powerful effect on FS caseloads. We are also looking at the changes in the income\nlevels of all FS eligibles (below 130% poverty) - which should be going up meaning more people\nmight be eligible for less benefit. We are also looking at the decline in the total amount of eligibles\nover time (the group of below 130% is getting smaller).\nWe are trying to make USDA get updated numbers on the participation rate of eligibles, armed with\nthat and the total number of eligibles we can work out take-up rates and compare them over time.\nJ. Eric Gould\n03/26/99 06:27:28 PM\nRecord Type:\nRecord\nTo:\nCynthia A. Rice/OPD/EOP\nCC:\nSubject: Food Stamp Chart\nI had a long conversation with USDA about the chart (Table 2) you and I discussed this morning.\nThe chart reviews data on single parent households by presence of earnings and welfare receipt\nbetween 1994-1997. From my conversation with USDA I gathered:\n1. The number of single parent households receiving TANF fell, which is consistent with overall\ndeclines in welfare caseloads.\n2. The number of single parent households not receiving TANF increased modestly, which is\nconsistent with the notion that as folks leave welfare, some continue to receive food stamps as\nNPA cases.\n3. The number of single parent households not receiving TANF who have earnings increased\nslightly, which is consistent with recent efforts to move single parent families off of welfare and\ninto work.\nConclusions from the data:\n1. The data show that some households appear to leave welfare and food stamps completely. We\nexpect that some had higher earnings. However, the data does not provide any information about\nthese households.\n2. Others find work and leave welfare, but continue to combine work with food stamps as a\nnutritional supplement, which is how the Program is supposed to work.\nOne thing to keep in mind is that these numbers represent people who continue participation and\npeople who come on to the program. For example, when the data reflects a single mom with\nearnings and no TANF, we don't know if she got TANF and food stamps before and is now a food\nstamp only recipient, or is she never got TANF and came to the State agency as an NPA household.\nThis means that when the chart shows an increase in single parents with earnings and no TANF,\nwe don't know how many of them worked their way off of TANF. Similarly, when there is no\nTANF and no earnings, these could be people who were kicked off TANF or who never received it\nin the first place.\nWhat is Causing Caseload Reductions in the Food Stamp Program ?\n3/10\nIn November 1998, the Food Stamp Program served 18.6 million people. The number of people\nreceiving food stamps fell by over 9 million people, a drop of one third, since March 1994. Part\nof this drop is due to the strength of the economy and the success of welfare reform. Part of the\ndrop is due to new restrictions on the participation of certain legal immigrants and able-bodied\nunemployed adults without dependents.\nHowever, other factors may also be at work. Between 1995 and 1997, Food Stamp Program\nparticipation fell five times as fast as poverty, suggesting that many poor families have left the\nprogram despite their continuing eligibility. While the program is available to households with\ngross incomes of up to 130 percent of poverty, 91 percent of program participants have income\nbelow the poverty level.\nThere are three important factors that must be considered in addressing the reasons for the sharp\ndecline in Food Stamp participation since 1994: 1) specific Food Stamp eligibility changes in\nPRWORA; 2) broader PRWORA changes requiring work and discouraging dependence on cash\nassistance; and 3) a strong economy. The relation of these three factors is a topic of continuing\nresearch but preliminary information shows that economic factors can not fully explain recent\ncaseload declines and further research is needed to look more closely at behavioral changes in\ntake-up as well as state-specific changes in eligibility.\nHow ave these different\n-97?\n1. Who is Leaving the Food Stamp Program?\nSubgroup\nParticipants\nParticipants\nParticipation\nPercent\nSubgroup as\nSubgroup as\nPercent of Decli\nin 1994\nin 1997\nChange 1994-\nChange in\nPercent of\nPercent of\nfrom Subgroup\n(thousands)\n(thousands)\n1997\nParticipation\n1994\n1997 caseload\n1994-1997\n(thousands)\ncaseload\nLegal\n1,537\n706\n-831\n-54%\n6%\n3.4%\n14%\nPermanent\nResident Aliens\nChildless\n1,148\n648\n-500\n-43.5%\n4%\n3.1%\n8.4%\nbet\nUnemployed\nAdults\nAFDC/TANF\n13,052\n9,442\n-3,610\n-27.6%\n48%\n43%\n60.8%\nRecipients\nAll Other\n11,697\n10,707\n-990\n-8.5%\n43%\n49%\n16.7%\nParticipants\nTotal\n27,434\n21,503\n-5,931\n-21.6%\n100%\n100%\n100%\nParticipants\nJuly-September Food Stamp Program Quality Control Data for 1994 and 1997\nNarrow columns 50thenal FH\nThe above chart shows that while there were large reductions within the legal immigrant and\nenpoye\nchildless unemployed adult populations, their combined effect only contributes to less than a\nquarter of the entire food stamp caseload reductions. It must also be noted that the above\npercentage changes also reflect economic influences. Therefore, even without policy changes the\nsubgroups would still have reflected decreased caseloads.\nThe bulk of the caseload changes comes from AFDC/TANF recipients, who make up\napproximately 43 percent of the Food Stamp caseload. Between 1994-1997, this group\nexperienced a 27 percent decrease in participation, which resulted in 60 percent of the entire\ncaseload reduction between 1994-1997.\nThe group identified as \"All Other Participants\" consists of working poor, aged poor and disabled\npoor. This group is the second largest segment of the Food Stamp population, making up 43\npercent of the entire caseload in 1997.\n(alth\nimmigo most\nFeable\n2. How are specific changes in PRWORA affecting the Food Stamp Program?\nPium (Lb/\nAt least 20 percent of the decline between 1994-1997 came from two subgroups directly affected\nby PRWORA. Participation of legal immigrants declined 54 percent between 1994-1997 and\nreflected 14 percent of the entire caseload's decline. Changes in BBA and last year's Agricultural\nResearch Act will may have án affect on these numbers as certain groups of legal immigrants become\neligible for Food Stamps. The group of childless unemployed adults without dependents made up\n8.5 percent of the decline in the entire Food Stamp caseload, as the subgroup registered a 44\npercent decline between 1994-1997.\nRemind people of policy eg, 18to sos only\neligible for smonths of wratthnu unless working\nAdding the percentage caseload declines from these two subgroups suggests that 22.5 percent of 220hpm\nthe entire caseload reductions between 1994-1997 were attributable to changes in eligibility for\nthese populations. However, economic factors also have to be taken into consideration. Experts'\nestimates of the economy's impact on the Food Stamp caseload during this period varies between\n25-45 percent. Taking into consideration economic forces, the direct impact of PRWORA on\nthese two groups and their relation to their total impact on Food Stamp caseload declines has been\nestimated to be approximately 10 percent.\n3. What affect do the broader changes in PRWORA have on Food Stamp caseload\nchanges?\nRegardless of the impact that specific policy changes in PRWORA have had on Food Stamp\ncaseloads, the bulk of the decline between 1994 and 1997 came from AFDC/TANF recipients,\nwho as a group attribute for 60 percent of the decline The number of AFDC/TANF recipients has\nfallen by over 1-million since 199 and the vast majority of the AFDC/TANF recipients were\nalso receiving Food Stamps Historifally The Food Stamp Program has been closely coordinated in local\noffices with cash assistance programs.nd this can dramatically affect the household' assessment\nof the costs and benefits of participation.\nchrifort, individuals receiving cash ass stance nave always\nbeen fai more likely to recewe Food Stamps tram other\neligible endi ideals\nPERCENTAGE OF\nare are these they all non-earners!\nPARTICIPATION OF FOOD STAMP ELIGIBLE\nINDIVIDUALSUN THE FOOD STAMP PROGRAM\nHousehold with earnings\n45.8%\nAdd you Identy in get fn stat non-\nHouseholds with children\n85.8%\nSingle parents with children\n96.8%\nwhat of earners is rate not on AFDC?\nHouseholds with earnings and children\n55.2%\nSingle parents with earnings/children\n59%\n1994, SIPP\npublic arrythnce\nThese numbers indicate that families with a single adult, who were receiving are almost\ncertain to participate, while households with earnings have a participation rate under 50 percent.\nAt some level, the presence of children has a positive influence on participation even among the\nsubset that works and being a single parent raises the likelihood of participation further.\nAs the TANF roles decrease and individuals continue.to obtain more earnings, these numbers\nindicate that they are less likely to retain their Food Stamps even though they are eligible.\nAlthough participation rates among single parents and their children have been historically high,\nthe recent declines in TANF caseloads suggest they might fall in the future. For example, in\nIndiana, the state's welfare reforms have reduced Food Stamp participation without a\ncorresponding reduction in the number of potentially-eligible families. In short, some families\nthat leave or avoid TANF and remain in poverty fail to apply for Food Stamp benefits.\nKnowing that the number of households with earning is increasing and that they are less likely to\nretain their Food Stamps, even though they may still be eligible, an important issue is the\nrelationship between the percentage of working eligibles who obtain Food Stamps as compared to\nthe present percentage. The trend has been that an increasing amount of Food Stamp participating\nhouseholds have some earnings. From 1994-1997 almost three percent more participating\nhouseholds reported earnings.\nBut M people are 60 likely toget FS orce they have\nearnings, wfat los this mem?\nPERCENTAGE OF FOOD STAMP PARTICIPATING HOUSEHOLDS WITH EARNINGS\n1992\n20.2%\nwould be more\nuseful to\n1993\n20.6%\ncompane\nI\nAolto This to include all leavers\n1994\n21.4%\nFS\nstudies (surveys\nguilat\n1995\n21.4%\neligibles\n% of resports leasing To all\n1996\n22.5%\ngo FST Medicaed) see\n1997\n24.2%\ndeveropm s> 19\nemail from Andria\n1997 USDA Food Stamp Quality Control Samples\nDo some calcula tions based\non these data and the leavers studies 2. whechshow bet 50-60% of those leaving\nthe rolls go to work i.e., if bet 28-45 90 left due to economy, courlte\nrest of the decline from 194- 197 be attributable to foid that\n55% of Those who left are now only talf as likely to get FS\nforwhechtley we elear!?\n4. What factors contribute to nonparticipation?\nUSDA has studied the reasons for nonparticipation and identified three common factors that are\nlikely to apply:\nInsufficient or incorrect information about the program. Working-poor families with\nchildren often do not know about their eligibility for Food Stamps given that many such\nfamilies are not eligible for cash assistance. Lack of accurate program information is also\nprevalent among illiterate and non-English speaking individuals.\ntoget\nto\noffice\nProblems of Program access and administrative Influialty difficulties with the application, during\nrabdtothis\nworking\nopen\nhours/\nprocess. Historically, participation rates are often lower among rural and elderly\nincentives\nerror\npopulations because of physical access and transportation barriers. However, recent\nrates), for\nreports, similar to the illegal NYC access situation, have created questions whether wide- states than\nspread diversion or discouragement of Food Stamp participation is taking place on a\nthese fam\nbroader level.\nGive an ex= some one w/ su/hr\nSmall size of the benefit or lack of desire for benefits. As an individual's or\n106 t 2 cheldren is eleaptle forxx FS in\nhousehold's income rises the potential Food Stamp benefit declines. At some point,\nprogram eligibles decide the small amount of the benefit is worth less than the cost of\napplying. Other people forgo benefits regardless of the amount because of personal\nobjections to income transfer programs and / or the stigma associated with receiving or\nusing Food Stamps. The increasing use of EBT could decrease this stigma in the future as\nthe transaction will be similar to credit card use.\n5. How does the decline in AFDC/TANF participation compare to declines in food stamp\nparticipation?\nMake this\nCHANGE IN WELFARE / FOOD STAMP CASELOADS SINCE ENACTMENT OF PRWORA\nChange in AFDC/TANF\nPercent Change in\nChange in Food Stamp\nPercent Change\nAFDC/TANF\n#2\nParticipation\nParticipation\nin Food Stamps\nAug. 96 - Sep. 98\nAug. 96 - Sep. 98\nAug. 96 - Sep. 98\nAug. 96 - Sep. 98\n4,286,000\n-35%\n6,229,107\n-25%\nComparing data between 1980 through 1998, Food Stamp caseloads are usually about twice as\nhigh as AFDC/TANF caseloads. This reflects the broader eligibility rules for Food Stamps.\nAFDC caseloads which were largely flat from the mid-1970s through 1990 rose 27 percent\nbetween 1990 and 1994. But, between 1994 and mid-1998 they fell by 40 percent. In\nSeptember, 1998, they were at their lowest since 1969.\nFood stamp caseloads follow a similar trend. Participation peaked at 22 million during the 1983\nrecession and then fell steadily with a stronger economy until 1988. From 1988 to 1994,\nparticipation increased by 9.5 million, a 52 percent increase. From 1994 to February 1998,\nLet's discus what best compromounsibe\n-1994-1997 ?\n1996-1997?\n96-98?\nFood Stamp participation fell by 7.8 million, a 28 percent decrease.\n6. Is the economy operating through the strong labor market responsible for the decline?\nThe relationship between the economy and Food Stamp participation has been fairly strong over\nthe last twenty years. Even when forecasters have not been able to predict AFDC caseloads\naccurately on the basis on economic factors, there are still corresponding patterns of rise and fall\nin unemployment and the Food Stamp caseload. But even though economic factors are\nimportant, they are not the entire story. There have been periods where Food Stamp caseload\ntrends varied significantly from unemployment rates.\nThe unemployment rate has fallen from 6.6 percent in 1994 to 4.4 percent in 1999. Previously\ndeveloped models of the relationship between the economy and Food Stamp participation\nindicate that economic trends since 1994 could account for anywhere from 28 to 45 percent of\nthe change in Food Stamp participation. With the caseload declining by almost eight million\nindividuals since 1994, this 17 percent difference (difference between 45 percent and 28\npercent) is significant in understanding what happened to approximately 1.4 million individuals.\nRecent research done by Rebecca Blank suggests that a one-point rise in the unemployment rate\nwill produce a 6 percent increase in the food stamp caseload over a three year period. This\nmight be an understatement if a lack of TANF-funded assistance produces greater need among\nlow-income families in the future. On the other hand, it may be an overestimation if smaller\nnumbers of people in TANF-funded programs mean that fewer families are aware of their food\nstamp eligibility and take-up rates fall. Still, economic data that takes into consideration\nunemployment and median wages, can only account for 40 percent of the caseload changes that\nhave taken place between 1994 and 1998.\nF52\nWhat are we doing about this?\nWe will continue to monitor caseload trends and keep you informed. Moreover, there are\nimportant questions we need to further examine with the assistance of USDA and CEA.\nIf the sharp decline in Food Stamp participation can not be fully explained through\neconomic forces, what relationship does the decreasing TANF caseload have on it and\ncan we expect both caseloads to continue to decline?\nHow much influence do the common factors of non-participation have on program\neligibles and how can we address these specific factors?\nWhat can we do through Administrative action to address this situation?\non\nthe work departmy\nWhat is Causing Caseload Reductions in the Food Stamp Program (ESP)?\nFood stamp digfility\nThere are three important factors Sta that must be considered in addressing the plausible reasons for\nthe sharp decline in FST participation since 1994: 1) specific FOP changes in PRWORA; 2)\nbroader PRWORA changes to the cash system; and 3) a strong economy. The relation of these\nthree factors is a topic of continuing research and debate. This memo addresses current easeload\ntrends and research\nbut proliminary mathon shows\n1. Who is Leaving the Food Stamp Program?\n1994 1997\nSubgroup\nParticipants in\nParticipants\nParticipation\nPercent Change\nSubgroup\nPercent of Decline\n1994\nin 1997\nChange 1994-\nin Participation\nas Percent\nfrom Subgroup\n(thousands)\n(thousands)\n(thousands) 1997\nassocial\ncaselord of 1997\nLegal\n1,537\n706\n-831-\n-54%\n3.4%\n14%\nPermanent\n6.0%\nResident Aliens\nChildless\n1,148\n648\n-500\n-43.5%\n3.1%\n8.4%\nUnemployed\n4.0%\nAdults aye18.50\nAFDC/TANF\n13,052\n9,442\n-3,610\n-27.6%\n48%\n43%\n60.8%\nRecipients\nAll Other\n11,697\n10,707\n-990\n-8.5%\n43%\n49%\n16.7%\nParticipants\nhow\nTotal\n27,434\n21,503\n-5,931\n21.6%\n100%\n100%\n100%\nmanyol\nParticipants\nThese\nJuly-September Food Stamp Program Quality Control Data for 1994 and 1997\ntowmany work\n2. How does the decline in AFDC/TANF participation compare to declines in food stamp\nparticipation?\nupdate\n&\nDecline in AFDC/TANF\nPercent Changen AFOC/TAIN\nDecline in Food Stamp\nPercent Change intiod Stamps\nSept\n\"\nchu\nCha nge\nParticipation\n1998\nMarch 1994 to June 1998\nParticipation\nMarch 1994 to June 1998\nMarch 1994 - June 1994\nMarch 1994 - June 1998\n-5,957,854\n-41.8%\n-8,953,651\n-31.4%\nComparing data between 1980 through 1998, food stamp caseloads are usually about twice as\nhigh as AFDC/TANF caseloads. This reflects the broader eligibility rules in the FSP AFDC\ncaseloads which were largely flat from the mid-1970s through 1990 rose 27 percent between\n1990 and 1994. But, between 1994 and mid-1998 they fell by 40 percent. In June, 1998, they\nwere at their lowest since 1969\nSpt\nFood stamp caseloads follow a similar trend. They decline slightly faster than AFDC caseloads\nwhat are As?\nher about a araph !\nyour but\nnoclat above\n?\nPRWORA\ngote\nneed\n#\nin the mid-1990s, in part because ofPRWORA Still, the rapidity of these hanges is\nunprecedented and hard to explain.\nwith Bortne\nFood stamp elizablety\nFood stump\ngulat\n3. Did the 1996 FSP changes in PRWORA contribute to the decline in FSP participation?\n0\\0\nstamp\nother\nThese changes imposed a strict time limit on able-bodied adults without dependents. They made\nX\nmost legal aliens ineligible for the ESP (even though much of these cuts have been restored),\n\"D'\nslightly reduced the value of the maximum benefit, and limited certain deductions. With little\nhard data available, there is no way to know for sure what affect these changes actually have had\non FSP participation. Some experts agree that these changes would have affected easeloads no\nmore than 10 percent (Beebout, Mathematica 1998).\nThink This\nDostino mean 109. of dertne\nbowe Johnny the\nThroughanges\nwould\nstudy is good\n4. How do the non-FSP changes in PRWORA relate to FSP participation?\nthrough\n# appeople\nreversity\nThe number of AFDC/TANF recipients has fallen by over 4 million since 1994, and the vast\nbanfts.\nmajority of the AFDC/TANF recipients were also receiving food(stamps. However, some\nsubstantial portion of that decline was also caused by the strong economy, and there is little\nagreement among researchers about how much of the shrinking caseload resulted from welfare\nhow\nreform and how much resulted from the economy. Whatever the cause, the reduction in the\nAFDC/TANF rolls is associated with about half the decline in FSP participation.\n?? Jowe Vor\n5. Is the economy operating through the strong labor market truly responsible for the\nThis\ndecline?\nFrom 1994 to February 1998, FSP participation fell by 7.8 million, a 28 percent decrease. In\ncomparison the number of unemployed persons fell by 3.6 million during this period, and the\nunemployment rate fell from 7.8 to 4.6 percent of the labor force. Previously developed models\nof the relationship between the economy and FSP participation indicate that economic trends\nsince 1994 could account for anywhere from 28 to 45 of the decline in participation percent\n(Blank, CEA 1998; Beebout 1998; Hamilton, Abt Associates 1998).\nmeaning\nAFDC\nThe relationship between the economy and FSP caseload has been fairly strong over the last 20\nyears. Even when forecasters have not been able to predict caseloads accurately on the basis on\neconomic factors, there are still corresponding patterns of rise and fall in unemployment and the\nFSP caseload. However, although economic factors are important, they are not the entire story.\nThere have been periods where FSP caseload trends took off from unemployment rates. ??\n-\nSimply explained, there are other broader factors that help explain how many people participate\nin the FSP: the size and composition of the population and the eligibility rules in place interact\nwith economic factors.\n6 Still, what do economic models tell us about the future of food stamp participation\nrates?\nRecent research done by Rebecca Blank (CEA) suggests that a one-point rise in the\nunemployment rate will produce a 6 percent increase in the food stamp caseload over a three year\nperiod. This might be an understatement if a lack of TANF-funded assistance produces greater\nneed among low-income families in the future. On the other hand, it may be an overestimation if\nsmaller numbers of people in TANF-funded programs mean that fewer families are aware of\ntheir food stamp eligibility and take-up rates fall.\nInstead\n7. What \"links\" exist between food stamps and TANF participation?\nParticipation in AFDC/TANF plays a special role in food stamp participation patterns. The FSP\n90 wk.\nhas been closely coordinated in local offices with cash assistance programs. This can\ndramatically affect the household's assessment of the costs and benefits of participation.\ndezplar\nParticipating in both programs has only marginally higher costs than participating in one, and as\nobtains\na result, FSP participation is strongly associated with cash assistance participation. The vast\n(and\nmajority of single-parent households who receive cash assistance also receive food stamps, but\ncurrently\nfood stamp participation is much less common among single-parent households who do not\nreceive cash assistance even when households are grouped by income levels. The result is that,\nwhat\nfor a substantial part of the food stamp caseload, food stamp participation closely parallels\nto\n1846\nAFDC/TANF participation. Therefore, recent reports that some states are diverting, delaying\nand terminating individuals from TANF, and sometimes food stamps, in violation of federal law\nputhis\nis potentially a critical issue in terms of better understanding participation rates.\naspant\nSomewhat surprisingly, even though more than half of all food stamp cases do not receive cash\nof\nassistance, the national food stamp caseload has closely tracked the national AFDC/TANF\ncaseload since the early 1980s. This may mean that, beyond the administrative linkage, both\nQ+A\nprograms are influenced by some underlying pattern in households' assessments of the costs and\nbenefits of participation. This might reflect economic factors, such as perceptions about job\nopportunities, or non-economic factors.\n8. What conclusions can be drawn from all of this?\nAlthough it is clear that many factors are clearly correlated with food stamp caseload changes,\nthey do not explain the recent trends well. The uncertainty over the causes of recent powerful\ndeclines in the caseload are leaving most economists scratching their heads and causing other\nresearchers to look more closely at behavioral changes in take-up as well as state specific\neligibility changes that might be influencing these changes. Some economists (Blank and\nBeebout) and experts (Greenstein) believe that recipients are strongly influenced by a host of\nless-measurable factors (including their own sense of the \"accessibility\" of utilizing public\nassistance) when deciding whether or not to participate in the FSP.\n3/4/99\nSUMMARY OF RECENT RESEARCH\nON WELFARE LEAVERS\nStudy:\nPercent of Leavers\nPercent of Leavers\nReceiving Food Stamps\nReceiving Medicaid\nDelaware - 1/98\n65%\n75%\nIndiana - 1997\n38%\n53%\n11/98\n52% (after Year 1)\n66% offered health insurance by\n40% (after Year 2)\nemployer, but 50% declined for\nvarious reasons including cost\n(5% declined because of\nMedicaid coverage)\nIowa - 1993-5\n66%\n66%\n1999\n59%\nSouth Carolina - 1997\n66%\n75%\n-\n10/98\n52% of adults had health\ninsurance (40% of the total\nhad medicaid and 12% had\nprivate insurance);\n91% of the kids had health\ninsurance (80% medicaid and\n11% private)\nWashington - 1/99\n45%\n44% (Adults)\n64% (Kids)\nWisconsin - 1/99\n49%\n87%\nA2\nSUNDAY. MARCH 7. 1999\nS\nNATIONAL NEWS\nTHE WASHINGTON\nDrop in Food Stamp Rolls Is Worrying Officials\nA Sharp Decline\nBy JUDITH HAVEMANN\nmittee, said the declines are \"quite\nThe welfare application process\nfood stamp usage has been pro-\ncalled for a review of the rules that\nThe number of people who\nWashington Post Staff Writer\nmysterious\" and need to be investi-\ntraditionally has been the main en-\npelled by a booming economy and\ngovern food stamp and Medicaid eli-\nreceive food stamps fell from a\ngated because they \"far exceed ex-\ntry point for food and medical assis-\nchanges in the law that have made\ngibility, while Rep. Robert W. Goo-\nhigh of 27.5 million in 1994 to\nAdvocates for the poor and some\npectations.\" Johnson said that the\ntance, as well as cash. Since the 1996\nabout 700,000 legal immigrants inel-\ndlatte (R-Va.), chairman of the Agri-\n19.8 million last year.\nmembers of Congress are alarmed\navailability of health care benefits is\nwelfare reform law was passed,\nigible. The rest of the drop, they say,\nculture subcommittee that oversees\nby a steep drop in the number of\n\"core\" to whether welfare reform\nsome states have been \"diverting\"\nis a result of states discouraging po-\nfood stamps, said he would favor ef-\nNumber of recipients, in millions\nAmericans receiving food stamp as-\nsucceeds and that it is unclear\npoor families from welfare\ntential applicants, intentionally or\nforts to turn over the food stamp\n30\nsistance and have begun pressing\nwhether states are doing enough to\ninadvertently, because workers are\nprogram to the states in the same\nfor changes to ensure that poor fami-\ninform poor families of their eligibil-\nThe decline in\nso focused on moving them into\nmanner as welfare if there is broad\n28\nlies have enough to eat.\nity for assistance. She plans to hold\njobs.\nsupport for such a move.\nNearly 8 million Americans have\nhearings to draw attention to the\nMoreover, welfare reform has\nDouglas Besharov, a senior fellow\nleft the food stamp rolls during the\nproblem.\nfood stamp usage\n26\nstigmatized all forms of aid, they\nat the American Enterprise Insti-\nfour years, a 28 percent reduc-\nState welfare officials, mean-\nsay, making many poor families re-\ntute, said the decline in Medicaid\n24\ntion that is far greater than the de-\nwhile, will converge on Washington\nand food stamp rolls is not fully un-\n1994:\ntoday to ask Congress to abolish\nsuggests a lot of\nluctant to apply for government help\ncline in poverty for roughly the same\nof any kind. Some Americans are\nderstood. But he said some of it rep-\n27.5 million\n22\nperiod, according to new federal fig-\nrules that they say are an obstacle to\nsimply unaware that they are poor\nures.\npoor families left\nresents a common-sense decision by\ngetting food stamps and are in-\nenough to qualify for food stamps if\nrecipients who don't want to miss a\n20\nAgriculture Secretary Dan Glick-\ncompatible with welfare reform. For\nthey earn less than $1,783 a month\nday of work every six months to visit\n1991:\nman said that suggests \"that a lot of\nexample, they say, it is absurd that a\nthe program even\nto support a family of four. Also,\nwelfare offices to qualify for a small\n22.6 million\n18\npoor families left the program even\nlow-income family with a car valued\nmany former welfare recipients are\nallotment of food stamps. Moreover,\nthough the need was still there.\"\nabove $4,650 is almost automatical-\nnot told they are entitled to at least\nthough the need\nbecause poor people can sign up for\nsix months of Medicaid benefits to\n16\n1998: 19.8 million\nThe combination of plummeting\nly ineligible for food stamps when\nMedicaid when they visit an emer-\nfood stamp rolls and a similar, but\nsome state welfare agencies are\nhelp them make the transition to\ngency room, they are less inclined to\nsmaller decline in the number of\nhelping welfare families obtain cars\nwas still there.\"\nwork, these advocates say.\n14\ngo through the sign-up process\npeople in Medicaid, the health insur-\nto get to work.\nKinder, gentler' is a thing of the\nwhen they are not in immediate\nance program for the poor, has fu-\nThe state officials, members of\n-Dan Glickman,\npast,\" said Rep. Fortney \"Pete\"\nneed of care.\n0\neled concerns among advocates for\nthe American Public Human Servic-\nsecretary of agriculture\nStark (D-Calif.). \"Some states\n\"There is no evidence of a signif-\n1991\n'92\n'93\n'94\n'95\n'96\n'97\n'98\nthe poor that the 1996 federal wel-\nes Association, also will urge the Ag-\nhave been illegally telling people\nicant increase in the level of hard-\nSOURCE: Agriculture Department\nfare reform law may be discouraging\nriculture Department to reduce\nby making them search for jobs or\nthey are no longer qualified.\"\nship the poor are facing, and evi-\nTHE WASHINGTON\nsome families from seeking needed\nsome of the program's red tape, in-\ngiving them a onetime payment to\nSecond Harvest, which operates\ndence, in fact, that the condition of\naid. Private food pantries and chari-\ncluding requirements that states\ntide them over. Food advocacy\nthe largest network of food banks in\nthe poor has improved,\" Besharov\nures are available.\ntable organizations have reported\ncontinually summon recipients to\ngroups say that welfare rules have al-\nthe country, said that demand is up,\nsaid.\nThe Medicaid rolls fell from 41.4\nan increased demand for food assis-\ncounty welfare offices to recertify\nso \"diverted\" families from the food\nparticularly among families, but said\nFood stamp usage fell from 27.5\nmillion to 40.3 million during the\ntance.\ntheir eligibility.\nstamps and medical insurance that\nit was unable to compare the 26 mil-\nmillion in 1994 to 19.8 million last\nsame period, even as federal and\nRep. Nancy L. Johnson (R-\nBut advocates for the poor charge\nthe families need more than ever.\nlion people who sought help during\nyear, while those living in poverty\nstate health officials beat the bushes\nConn.), chairman of the Ways and\nthat the real problem may be the\nThe groups cite studies showing\n1997 with earlier years.\nfell from 38.1 million to 36.6 million\nto extend health insurance, to the\nMeans human resources subcom-\nstates themselves.\nthat only about half of the decline in\nRep. Robert T. Matsui (D-Calif.)\nin 1997, the last year for which fig-\nmany qualified uninsured families.\nAPHSA\nAmerican Public Human Services Association\nMarva Livingston Hammons, President\nWilliam Waldman, Executive Director\nMarch 2, 1999\nCynthia Rice\nSpecial Assistant to the President, Domestic Policy Council\n1600 Pennsylvania Ave, NW\n212R OEOB\nWashington, DC 20500\nDear Ms. Rice:\nThe American Public Human Services Association (APHSA) invites you to come hear\nthe Commissioners of three state human services agencies offer their perspectives on\n\"Food Stamps, TANF and the Working Poor.\" The forum will be held on Tuesday,\nMarch 9, 1999 from 1:30 to 3:00 p.m. in the Senate Agriculture, Nutrition and Forestry\nCommittee Room in 328A of the Russell Senate Building.\nPlease see the attached brochure for more information. If you have any questions\nregarding this forum, please call Anna Lovejoy at APHSA, 202-682-0100. We look\nforward to your attendance at this important policy discussion.\nAPHSA nonprofit, bi-partisan organization of individuals and agencies concerned with\nhuman services. Our mission is to develop, promote, and implement public human\nservice policies that improve the health and well-being of families, children, and adults.\nSincerely,\nWilliuab\nWilliam A. Waldman\nExecutive Director\nRepresenting Public Human Services Since 1930\n810 First Street, NE, Suite 500, Washington, DC 20002-4267\n(202) 682-0100\nfax: (202) 289-6555\nhttp://www.aphsa.org\nWhy the Food Stamp Program No Longer\nMeets the Needs of the Working Poor\nThe strict regulations governing the\nFood Stamp Program. These two separate\nThe Food Stamp Program also requires\nadministration of the federal Food Stamp\nagencies periodically promulgate inconsistent\nfamilies to report normally every three months\nProgram pose serious obstacles to states'\npolicies that increase the cost of administering\nfor in-person interviews, immediately\nstrategies to reduce dependence on welfare,\nthe Food Stamp Program and impede state\npass along nearly every variation in their\nincrease the employment of Temporary\nwelfare reform innovations. This was true under\nwages, and have their employers fill out a\nAssistance for Needy Families (TANF) clients,\nAFDC and, unfortunately, is increasingly the\nsteady stream of paperwork verifying\nand meet the needs of the working poor. The\ncase under TANF.\ntheir work status. These requirements are due\nclash between the TANF and Food Stamp\nto the historical focus on total and predictable\nprograms is costly and complex. State\nExamples of Program Conflicts\naccuracy of payment levels, whereby\nadministrators see the conflicts of the two\nindividuals and states are both held\nprograms on a daily basis because the TANF\nFor example, under the state TANF programs,\nresponsible for \"errors\" and face penalties for\nand Food Stamp programs are often\nclients are receiving assistance to purchase or\ninaccurate wage reporting. But the nature of\nadministered by the same human service\nrepair cars to get to work. However, under the\nthe entry-level job market is that fluctuations\nagency charged with moving welfare clients\nFood Stamp Program rules, if a recipient owns a\nare frequent, and many jobs do not last very\noff assistance and into employment. This is\ncar worth more than $4,650, the client is ineligible\nlong. Moreover, as states become more\nnot the case at the federal level where the U.S.\nfor food stamps. Similarly, many states have\neffective in moving TANF clients into jobs,\nDepartment of Health and Human Services\nincreased income and asset disregards\nthey run the risk of increasing \"errors\" due to\noversees the TANF block grant and the U.S.\nand established individual development accounts\nthe uncertainty of the entry-level job market.\nDepartment of Agriculture administers the\nfor TANF clients. These assets may make families\nWhile all state administrators hold the\nineligible for food stamps.\nefficient and effective administration of food\nstamps as a goal, adjustments are needed to\nhelp support those food stamp clients who are\nmaking this effort, rather than burden them\nFOOD COUPON\nand penalize states.\nThis forum will present the states' ideas for a\nmore flexible and innovative approach to\nserving working families in the Food Stamp\nProgram. State human service agency\ncommissioners will share their experiences in\nfacing these policy challenges and will offer\ntheir thoughts on what policy changes might\nhelp them serve families better.\nFood Stamps, TANF, and the\nFounded in 1930, the American Public\nWorking Poor\nHuman Services Association (APHSA) is a\nFood Stamps,\nnonprofit, bipartisan organization of state\nTuesday, March 9, 1999\nand local agencies concerned with human\nTANF, and the\n1:30-3:00 p.m.\nservices. Members include all state and\n328A Russell Senate Building\nmany territorial human service agencies,\nWorking Poor\nmore than 800 local agencies, and several\nWelcome and Introductions\nthousand individuals who work in or\notherwise have an interest in human\nWilliam Waldman, Executive Director,\nAPHSA\nservice programs. APHSA, which recently\nchanged its name from the American Public\nPanel Discussion of State\nWelfare Association, serves as a conduit\nState human service commissioners call\nCommissioners\nbetween members of Congress, the media,\nfor changes in the Food Stamp Program\nand the broader public on what is\nGary K. Weeks, Director, Oregon\nto meet the needs of the working poor.\nhappening in the states and localities\nDepartment of Human Resources\nHill staff will have an opportunity to\nconcerning welfare, child welfare, health\nquestion the panelists and hear state\nClarence Carter, Commissioner,\ncare reform, and other issues involving\nperspectives.\nVirginia Department of Social Services\nfamilies, children, and the elderly.\nLynda Fox, Secretary, Maryland\nDepartment of Human Resources\nThe mission of APHSA is to develop, promote,\nand implement public human service policies\nQuestions from Congressional\nthat improve the health and well-being of\nStaff Panel\nfamilies, children, and adults.\nMike Ruffner, Majority Professional\nFOOD COUPON\nStaff Member, Senate Agriculture, Nutri-\ntion and Forestry, Subcommittee on\nResearch, Nutrition, and General Legisla-\ntion\nMark Halverson, Minority Chief Coun-\ncil, Senate Agriculture, Nutrition and\nFor media inquiries, contact\nForestry Committee\nAmy Tucci, Communications\nKevin Kramp, Majority Staff Director,\nDirector, at (202) 682-0100,\nSponsored by the\nHouse Agriculture Subcommittee on\next. 288, or e-mail to\nAmerican Public Human\nDepartment Operations, Nutrition and\[email protected]\nForeign Agriculture\nServices Association\nKimberly Barnes O'Connor, Children's\n810 First Street, NE Suite 500\nPolicy Director, Senate Health, Education,\nWashington, DC 20002-4267\nTuesday, March 9, 1999\nLabor and Pensions Committee\n(202) 682-0100\n1:30 p.m. to 3:00 p.m.\nDebbie Banks, Senior Policy Advisor,\nfax: (202) 289-6555\n328A Russell Senate\nRep. Robert T. Matsui, (D-Calif.)\nhttp://www.aphsa.org\nOffice Building\nWho is Leaving the Food Stamp Program?\nSubgroup\nParticipants\nParticipants\nParticipation\nPercent\nSubgroup as\nSubgroup as\nPercent of\nin 1994\nin 1997\nChange 1994-\nChange in\nPercent of\nPercent of\nDecline\n(thousands)\n(thousands)\n1997\nPartici-\n1994 caseload\n1997 caseload\nfrom\n(thousands)\npation\nSubgroup\n1994-1997\nLegal\n1,537\n706\n-831\n-54%\n6%\n3.4%\n14%\nPermanent\nResident Aliens\nChildless\n1,148\n648\n-500\n-43.5%\n4%\n3.1%\n8.4%\nUnemployed\nAdults\nAFDC/TANF\n13,052\n9,442\n-3,610\n-27.6%\n48%\n43%\n60.8%\nRecipients\nAll Other\n11,697\n10,707\n-990\n-8.5%\n43%\n49%\n16.7%\nParticipants\nTotal\n27,434\n21,503\n-5,931\n-21.6%\n100%\n100%\n100%\nParticipants\nJuly-September Food Stamp Program Quality Control Data for 1994 and 1997\ndrugs and their implications for\nwhether the United States is serious\nto other federal entitlement pro-\nMedicaid. Dr. Garth L. Splinter of the\nabout providing health care to unin-\ngrams. She points out some new and\nOklahoma Health Care Authority\nsured children in immigrant families.\nunanticipated challenges for program\nshares his views on Viagra and the\nShe calls our attention to the current\nadministrators.\ndilemmas Medicaid directors face\nconflict between public health and\nI hope you'll find this issue inter-\nwhen dealing with quality-of-life\nimmigration policy, and she points\nesting. Our goal is for POLICY &\ndrugs. He offers much food for\nout its impact on children's health.\nPRACTICE to be a useful resource for\nthought as he attempts to answer:\nIn our \"View from the Nation's\nyou in your daily work. I'm open to\nHow do we determine what Medicaid\nCapital,\" Elaine M. Ryan, our govern-\nyour suggestions and comments, so\nshould and should not cover?\nment affairs director at APHSA, looks\ndon't hesitate to contact me.\nClaudia Schlosberg of the National\nat the Temporary Assistance for\nBest wishes for a happy and safe\nHealth Law Program questions\nNeedy Families program and its link\nholiday season and new year.\nTravel without good planning,\nand you're bound\nto get lost.\nHowever far you wander.\ntive rates. If you're less than\nTerm Lite\nyou need an insurance plan\nenchanted with your current\nMember Assistance\nthat stays in place. Pick one\ninsurance carrier. call us at\nHigh Limit Accident\nup from APHSA and you're\n800 424-9883. or in Wash-\ncovered wherever you go.\nington, DC at 202 457-6820\nAs long as you're \" member,\nWe promise you'll never get\nwe'll help you find your way\n\" crumby deal. And you'll\nto the best of plans, and\nnever have to go into the\nalways at the most competi-\nwoods alone.\nINSURANCE FOR APHSA MEMBERS\nThis plan is administered by Scabury & Smith, a Marsh & McLennan Company.\nThe term life plan is underwritten by the New York Life Insurance Company.\nAPHSA\n51 Madison Avenue, New York, NY 10010. on Policy Form GMR\nDECEMBER 1991\nView from Nation's\nthe\nCapital\nParcy\nPractice\nJamue\n12/98\nThe Unfinished\nAgenda:\nTwo Years after TANF\nor more than six decades, the\nconnections. Today, we know that\ngies also provide families with\nF\nAid to Families with Dependent\nthose intricate interconnections that\nshort-term, lump-sum assistance\nChildren (AFDC) program was the\nonce worked well (in a system the\naimed at reducing dependence on\nentryway poor\nnation grew to despise) now\nwelfare. More states are granting a\nfamilies walked\nthreaten the long-term success\nmix of cash, benefits, and services\nthrough to gain\nof welfare reform.\ntailored to meet the individual\nby Elaine M. Ryan\naccess to a con-\nWelfare reform marked the end of\nneeds and circumstances of eligible\ncatenation of fed-\nan era of an individual entitlement to\nfamilies. Unlike the previous systen\neral benefit pro-\ncash and child care assistance in\nadministered primarily by human\ngrams. Under the\nthis country and the beginning of a\nservice agencies, today states are\nAFDC program,\nnew era of time-limited, work-focused\nchanging the way they deliver ser-\nfamilies were eligi-\nassistance and services. The\nvices to TANF families by devolving\nble for food\nTemporary Assistance for Needy\nresources and responsibilities to\nstamps, Medicaid,\nFamilies (TANF) block grant that\nnew public, private, and not-for-\nchild support. child care, and, in\nreplaced AFDC provides states with a\nprofit partners.\nsome instances, federal housing and\nfixed amount of federal funds and\nThe five-year federal lifetime limit\nenergy assistance.\npermits broad flexibility in setting eli-\non the receipt of TANF assistance\nOver time, AFDC and other federal\ngibility levels by disregarding earned\nhas created a new imperative to\nentitlement programs were inextrica-\nincome and assets and by providing\nmove clients into employment as\nbly entwined, bound together by a\nfamilies with a wide array of cash\nquickly as possible and to support\ncomplex set of federal regulations,\nand supportive work services.\ntheir transition into the world of work\nfunding streams, and policies. Since\nIn response, states are adopting\nFood stamps, Medicaid, child care,\nthe enactment of the Personal\na variety of innovative policies and\nand housing are key components of\nResponsibility and Work Opportunity\nstrategies which allow families on\nstate job retention strategies for\nReconciliation Act of 1996 that\nwelfare to keep more of their\nthese new low-income workers. Over\nrepealed AFDC, we have begun to\nearned income and to accumulate\ntime, families may increase their\nfully appreciate those intricate inter-\nassets. These policies and strate-\nearnings such that they no longer\n8\nPOLICY & PRACTICE\nrequire this assistance; however, in\npolicy and program conflicts\nFood Stamp program. These two\nthe short-run, these critical programs\ndescribed below.\nseparate agencies periodically pro-\nprovide families the stability they\nmulgate inconsistent policies that\nneed to stay in the workforce and off\nThe Food Stamp Program\nincrease the cost of administering\nof welfare.\nThe strict regulations governing the\nthe Food Stamp program and impede\nAs TANF has diverged from the\nadministration of the federal Food\nstate welfare reform innovations.\nrigid rules of the former AFDC pro-\nStamp program pose serious obsta-\nThis was true under AFDC and, unfor-\ngram, its link to the remaining federal\ncles to states' strategies to reduce\ntunately, is increasingly the case\nentitlement programs has produced\ndependence on welfare and increase\nunder TANF.\nnew and unanticipated challenges for\nthe employment of TANF clients. The\nToday, more than 30 states cur-\nprogram administrators as they\nclash between the TANF and Food\nrently operate TANF diversion pro-\nimplement welfare reform measures.\nStamp programs is historic, costly.\ngrams that provide short-term assis-\nIn reviewing the first two years of\nand complex. State administrators\ntance to low-income families as an\nimplementing TANF, we find the inter-\nsee the conflicts of the two programs\nalternative to TANF receipt. Diversion\nactions between program rules and\non a daily basis because the TANF\nor welfare avoidance payments often\npolicy objectives of TANF and such\nand Food Stamp programs are often\ntake the form of lump-sum cash\nfederal programs as Food Stamps\nadministered by the same human\nassistance to help families overcome\nand Medicaid. for example, no longer\nservice agency charged with moving\na crisis or to remove an obstacle to\nmake sense in the post-AFDC world\nwelfare clients off assistance and\ntheir employment. Under diversion\nand threaten the long-term success\ninto employment. This is not the\nprograms, families may receive three\nof welfare reform.\ncase at the federal level where the\nmonths of benefits in one month or\nThis unfinished agenda of welfare\nU.S. Department of Health and\nassistance to repair an automobile\nreform will require significant federal\nHuman Services oversees the TANF\nneeded to transport a client to his\nstatutory and regulatory change in\nblock grant and the U.S. Department\nor her job.\norder to untangle the conflicting\nof Agriculture (USDA) administers the\nEarlier this year, the USDA Food\nand Nutrition Service (FNS) mandat-\ned that when states determine eligi-\nbility for food stamps, they must con-\nsider diversion payments as income.\nUnder this mandate, many of the\nfamilies who received diversion\npayments would be ineligible for\nfood stamps.\nIn response to this ruling. states\nargued that diversion assistance pro-\nvided to families in crisis or in an\neffort to remove an obstacle to\nemployment should not disqualify\nfamilies from receiving the food\nassistance they need. Lump-sum\nassistance should not be equated to\nincome because a family may have\nresources in one month and be desti-\ntute the next. More important, once\nthe link to food stamps is broken,\nfamilies may be discouraged from\napplying for benefits they are entitled\nto receive in the future.\nLater in the year, FNS revised its\noriginal guidance and replaced it with\na moderately more generous but\nadministratively cumbersome one.\nThe new rules disregard diversion\npayments as income if states docu-\nment in writing that a payment was\nprovided to a family \"only once in a\n12 month period for needs not to\nexceed a 90 day period.' Therefore.\n9\nDECEMBER 1998\nif two or more payments are made to\nmaintenance system.\nand must be streamlined. Absent\na family within a year, the state must\nAs a result, the more effectively\nsuch an effort. the TANF and Food\nconsider these payments as income.\nstates move TANF clients into jobs, it\nStamp programs will continue on the\nClearly, states need greater flexibil-\nis more likely states will be penalized\ncurrent collision course with costly\nity to operate diversion programs\nfor payment errors. The efficient and\nand unintended consequences for\nthan this policy allows. It is impossi-\neffective administration of this feder-\nthe families we serve.\nble to predict when and if families\nal program is a goal of all state\nmay need short-term assistance.\nadministrators and the federal food\nMedicaid\nWhile states could avoid this policy\nstamp error rate should reflect seri-\nThe welfare reform law also broke the\nobstacle by assigning all families to\nous patterns of payment inaccuracy,\nlink between TANF and Medicaid eligi-\nthe welfare rolls. this would be con-\nnot minor errors attributable to suc-\nbility. Despite efforts to manage the\ntrary to the goal of reducing long-\ncessful welfare-to-work efforts.\ntwo programs together, several\nterm dependence on assistance.\nThese are but two examples of the\nadministrative challenges have\nIf this is the extent of flexibility the\nclash between the TANF and Food\nemerged that could have serious\nadministration believes it can exer-\nStamp programs, yet many others\nimplications for families in need.\ncise within the Food Stamp statute,\nexist. Although the welfare reform\nUnder the former AFDC program,\nthen perhaps congressional action is\nlaw includes an option for states to\nclients were categorically eligible for\nnecessary to afford states greater\ncoordinate the two programs together\nMedicaid. Now. the law requires state\nflexibility in aligning the TANF and\nunder the Simplified Food Stamp pro-\nadministrators to refer to the income\nFood Stamp programs.\ngram, few states have opted to do\nand resource standards that were in\nAnother illustration of the need for\nso. In fact, the scope of the \"simpli-\neffect in the state's AFDC plan as of\nincreased program flexibility is the\nfied program\" is so limited that it is\nJuly 16, 1996, to determine appli-\ncalculation of the\nfood stamp error\nrate. Under federal\nlaw, food stamp\nbenefits are adjust-\ned as recipients'\nincomes and earn-\nings change. States\nare measured on\ntheir ability to accu-\nBORSPINDLE\nrately calculate the\nfood stamp benefit\namount. If the so-\ncalled \"error rate\"\nincreases, states\nwill be penalized.\nCalculating the\namount of the\nbenefit was sim-\npler under AFDC\nbecause far fewer\nwelfare clients\nwere earning\nincome from\nemployment and\nremaining on assis-\ntance. In the TANF\nprogram, however, clients' employ-\nmore complex to administer than the\ncants' eligibility. Section 1931 of the\nment may be episodic and the\ncurrent program. With the shared\nwelfare reform law permits states to\namount of earned income may fluctu-\nobjective of ensuring greater access\nincrease income and resource stan-\nate significantly from month to\nto the Food Stamp program for all\ndards (but not above the Consumer\nmonth. The federal method used to\nneedy families, state and federal offi-\nPrice Index), decrease income stan-\ncalculate the food stamp error rate.\ncials must work together in crafting a\ndards (but not below those in place\nhowever. has remained virtually\nsweeping agenda for reform.\non May 1. 1998), or use \"less restric-\nunchanged despite the fundamental\nMoreover. the Food Stamp program\ntive\" methods. The so-called \"look-\nshift away from the AFDC income\nis increasingly difficult to administer\nback\" is administratively burdensome\n10\nPOLICY & PRACTICE\nand confusing to clients and case-\nStatutory or regulatory change is\nFor example, since the enactment\nworkers alike. On a practical level, it\nnecessary to allow states to use\nof welfare reform, 42 states have\nis unreasonable to expect Medicaid\nTANF savings when calculating the\nchanged TANF income and eligibility\neligibility workers to refer to state\ncost-neutrality of future waivers.\nrules that disregard earned income\nplan provisions of an AFDC entitle-\nPerhaps combined savings attribut-\nand 38 states have permitted clients\nment program long-since repealed. A\nable to unobligated TANF block grant\nto retain more resources and still\nnew standard that is simpler to\ndollars and Medicaid could be used\nremain on assistance. These policies\nadminister and easier for families to\nor a modest copayment for working\nare intended to provide clients with\nunderstand must be established.\npoor families could generate the\nan incentive to work and a chance to\nStatutory or regulatory action is\nresources needed to meet the new\naccumulate savings. At the same\nalso necessary to preserve states'\nfederal test. Without a creative solu-\ntime. if these clients live in public\noption to provide more than 12\ntion, thousands of families will lose\nhousing, the earned income is often\nmonths of Medicaid assistance to\nthe critical medical assistance they\nabsorbed by an increase in rent.\nfamilies making the transition from\nmay need to make the successful\nLandlords receive higher payments\nwelfare to work. Under the welfare\ntransition to long-term self-sufficiency.\nbut the net effect to the TANF family\nreform law, states are required to pro-\nAs the differences between the\nis negligible. The Quality Housing and\nvide 12 months of transitional med-\nTANF and Medicaid programs grow, it\nWork Responsibility Act of 1998\nical assistance to individuals whose\nwill become administratively costly to\napproved by Congress this year pro-\nearned incomes increase beyond a\nmanage these programs together and\nvides some relief to families who exit\npoint that would otherwise make\nseparate eligibility systems may be\nTANF for work by restricting rent\nthem eligible for Medicaid under\ndeveloped. In addition, families who\nincreases for up to two years.\nSection 1931. Prior to the enactment\nonce sought assistance through the\nAlthough this is a welcomed reform,\nof the welfare reform law, however,\nagencies that administered the for-\nover time, however, we cannot pre-\nonly 12 states had been granted fed-\nmer AFDC program in the future may\ndict the effect of changing TANF and\neral transitional Medicaid waivers that\ngain access to the Medicaid program\npublic housing policies. We do not\nallowed them to provide Medicaid\nthrough a variety of public, nonprofit,\nknow the number of families whose\nassistance to families for longer than\nor private entities which administer\nincomes will fall to zero when their\none year. Under the current calcula-\nthe TANF program. Without action to\nlifetime time limits are reached and\ntion of cost-neutrality, however, states\nafford states greater flexibility in the\nwhat effect their lack of income may\nwill not be permitted to continue to\nadministration of the Medicaid pro-\nhave on the future cash flow and\nextend this additional Medicaid cover-\ngram, the result may be fewer eligible\ncapacity of public housing authori-\nage to families when their waivers\nfamilies receiving the medical assis-\nties. Therefore, we must monitor the\nexpire. Under the AFDC program,\ntance they are entitled to receive.\nrelationship between welfare reform\nstates were able to achieve cost-neu-\nand housing to preserve the stability\ntrality of their waivers by calculating\nPublic Housing\nTANF clients need to prosper in\nsavings to the federal government in\nBeyond the Food Stamp and\nthe workforce.\nboth the AFDC and Medicaid pro-\nMedicaid programs, there are various\nTANF is a new program constantly\ngrams. States calculated that the\nfederal benefit programs that will\nchanging to meet the diverse needs\ncost of extending transitional\nenable states to achieve success in\nof clients on assistance and clients\nMedicaid for more than one year\nwelfare reform. One such program is\nwho have left the caseload, and to\nwould be offset by the savings the\nhousing assistance. Safe and afford-\nprevent dependence on the welfare\nfederal government would achieve by\nable housing provides the stability\nsystem. We must act now to ensure\nreducing the likelihood that clients\nfamilies need to exit welfare for work.\nthat key federal programs and poli-\nwould return to welfare. Since the fed-\nThough limited in scope, the feder-\ncies are aligned to meet the goals\neral cost of TANF is capped, the\nal government funds housing assis-\nand objectives of welfare reform and\nHealth Care Financing Administration\ntance for low-income families living in\nprovide states all the flexibility they\ninformed states that the cost-neutrali-\npublic housing authorities and\nneed to support state TANF program\nty of future transitional waiver demon-\nthrough Section 8 certificates and\ninnovations. If we fail to do so, mil-\nstrations must be achieved within the\nvouchers. On average, families\nlions of dollars will be spent navigat-\nMedicaid program alone. Under this\nreceiving assistance pay approxi-\ning through the federal entitlement\nnew test, states will not be able to\nmately one-third of their incomes in\nbureaucracy. separate eligibility sys-\ndemonstrate sufficient savings and\nrent. The interplay between TANF\ntems will be established, and fami-\nsubsequent transitional Medicaid\nand the rules governing the adminis-\nlies may lose eligibility and essential\nwaivers will not be approved. Indeed,\ntration of these federal housing pro-\nbenefits in the process.\nin three of the 12 states, the transi-\ngrams often produce unintended neg-\ntional Medicaid waivers have expired\native outcomes for families trying to\nElaine M. Ryan is director of\nand have not been renewed.\nwork their way off welfare.\ngovernment affairs at APHSA.\n11\nDECEMBER 1998\nNO.662 P002/005\n01/07/99 16:47\nCBPP 4567431\nDecline in Food Stamp Participation\nfrom March 1994 to July 1998\nArizona\nMinnesota\nWisconsin\nOhio\nTexas\nIndiana\nKansas\nMississippi\nNew Hampshire\nMassachusetts\nColorado\nFlorida\nIowa\nVirginia\nMissouri\nIdaho\nRhode Island\nNevada\nWyoming\nLouisiana\nUtah\nCalifornia\nPennsylvania\nNorth Dakota\nNew Mexico\nDelaware\nTennessee\nWashington\nVermont\nMichigan\nIllinois\nOklahoma\nNew York\nNew Jersey\nAlabama\nKentucky\nOregon\nGeorgia\nWest Virginia\nMaine\nMaryland\nNorth Carolina\nSouth Dakota\nMontana\nSouth Carolina\nConnecticut\nNebraska\nAlaska\nArkansas\nVirgin Islands\nDist. of Columbia\nHawaii\nGuam\nTOTAL US\n-20\n0\n20\n40\n60\n% Reduction\nCenter on Budget and Policy Priorities\nF:/sip/karen/presentn/1103DS.ps\nNO.662\nP003/005\n01/07/99\n16:47\nCBPP\n4567431\nDecline in Food Stamp Participation Since March 1994\nPercent Decline -\nMarch 1994 to\nSTATE\nMarch 1994\nJuly 1998\nJuly 1998\nALABAMA\n561,803\n415,612\n-26.0%\nALASKA\n51,692\n43,834\n-15.2%\nARIZONA\n512,288\n229,316\n-55.2%\nARKANSAS\n290,212\n254,142\n-12.4%\nCALIFORNIA\n3,191,890\n2,216,978\n-30.5%\nCOLORADO\n275,765\n177,222\n-35.7%\nCONNECTICUT\n225,044\n189,268\n-15.9%\nDELAWARE\n61,717\n43,394\n-29.7%\nDIST. OF COLUMBIA\n92,427\n82,640\n-10.6%\nFLORIDA\n1,469,271\n946,660\n-35.6%\nGEORGIA\n826,295\n635,794\n-23.1%\nGUAM\n15,058\n16,931\n12.4%\nHAWAII\n115,461\n121,388\n5.1%\nIDAHO\n88,094\n58,368\n-33.7%\nILLINOIS\n1,207,279\n875,297\n-27,5%\nINDIANA\n543,248\n301,515\n-44.5%\nIOWA\n203,883\n134,046\n-34.3%\nKANSAS\n197,340\n113,625\n-42.4%\nKENTUCKY\n536,337\n402,139\n-25.0%\nLOUISIANA\n763,280\n525,729\n-31.1%\nMAINE\n141,742\n110,764\n-21.9%\nMARYLAND\n399,877\n314,126\n-21.4%\nMASSACHUSETTS\n451,344\n276,984\n-38.6%\nMICHIGAN\n1,047,450\n755,230\n-27.9%\nMINNESOTA\n323,939\n173,818\n-46.3%\nMISSISSIPPI\n519,006\n309,173\n-40.4%\nMISSOURI\n606,179\n399,431\n-34.1%\nMONTANA\n74,280\n61,610\n-17.1%\nNEBRASKA\n113,484\n95,726\n-15.6%\nNEVADA\n96,977\n67,694\n-31.6%\nNEW HAMPSHIRE\n63,760\n38,518\n-39.6%\nNEW JERSEY\n554,501\n409,894\n-26.1%\nNEW MEXICO\n251,655\n176,779\n-29.8%\nNEW YORK\n2,175,154\n1,592,673\n-26.8%\nNORTH CAROLINA\n646,230\n509,793\n-21.1%\nNORTH DAKOTA\n47,459\n33,118\n-30.2%\nOHIO\n1,269,050\n693,748\n-45.3%\nOKLAHOMA\n382,926\n279,962\n-26.9%\nOREGON\n298,653\n229,435\n-23.2%\nPENNSYLVANIA\n1,243,533\n866,465\n-30.3%\nRHODE ISLAND\n96,336\n63,874\n-33.7%\nSOUTH CAROLINA\n390,940\n326,527\n-16.5%\nSOUTH DAKOTA\n55,200\n44,574\n-19.3%\nTENNESSEEE\n747,371\n527,488\n-29.4%\nTEXAS\n2,764,395\n1,529,964\n-44.7%\nUTAH\n131,124\n90,618\n-30.9%\nVERMONT\n65,475\n46,837\n-28,5%\nVIRGIN ISLANDS\n19,632\n17,501\n-10.9%\nVIRGINIA\n571,254\n376,137\n-34.2%\nWASHINGTON\n483,004\n344,136\n-28.8%\nWEST VIRGINIA\n333,260\n257,976\n-22.6%\nWISCONSIN\n334,900\n181,049\n-45.9%\nWYOMING\n34,698\n23,797\n-31.4%\nTOTAL US\n27,965,172\n10 317\n01/07/99 16:47\nCBPP -> 4567431\nNO.662 P004/005\nDecline in AFDC/TANF Participation compared to Decline in Food Stamp Participation\nFrom March 1994 - June 1998\nPercentage decline in number of cases\nIdaho\nWyoming\nWisconsin\nWest Virginia\nMississippi\nKansas\nFlorida\nOregon\nAlabama\nSouth Carolina\nColorado\nOklahoma\nArkansas\nTexas\nGeorgia\nNorth Carolina\nNew Hampshire\nTennessee\nOhio\nMichigan\nVirginia\nSouth Dakota\nLouisiana\nArizona\nNorth Dakota\nMassachusetts\nIndiana\nMaryland\nMissouri\nKentucky\nUtah\nPennsylvania\nlowa\nMontana\nNew Jersey\nMaine\nDelaware\nConnecticut\nIllinois\nNevada\nVermont\nWashington\nNew York\nNew Mexico\nDist. of Columbia\nCalifornia\nMinnesota\nAlaska\nNebraska\nRhode Island\nHawaii\nTOTAL US\n-40\n-20\n0\n20\n40\n60\n80\n100\n% Reduction\n% Reduction\nCenter on Budget and Policy Priorities\nF:/sfp/karen/presentn/1104SD.ps\nAFDC/TANF\nFOOD STAMP\nAlabama AFDC / TANF Caseload\n70,000\n160%\nCaseload relative to\n1996:8 (left axis)\n60,000\nFight\n140%\n120%\n50,000\nCaseload (left axis)\n100%\n40,000\nCaseload\n80%\n30,000\n60%\nCaseload relative to 1998:6\n20,000\n40%\n10,000\n20%\n0\n0%\n80\n81\n82\n83\n84\n85\n86\n87\n88\n89\n90\n91\n92\n93\n94\n95\n96\n97\n98\n99\nYear\ncasr_fin.wpd\nPage 1\nOctober 21, 1998\nMEMORANDUM FOR THE PRESIDENT\nFROM:\nBruce Reed\nAndrea Kane\nSUBJECT: Minority Welfare Caseloads\nYou asked us to evaluate recent reports that African-American and Hispanic\nfamilies are leaving welfare more slowly than whites, and to consider what more\nwe could do to ensure all welfare recipients are making the successful transition\nfrom welfare to work. Here is a brief summary of the trends, along with some new\nideas we are developing for consideration in your FY 2000 budget.\nI. Caseload Trends\nWe have worked closely with NEC, CEA, OMB, HHS, and the Census Bureau\nto examine the most recent welfare caseload data (generally through 1997). As\ndetailed in the attached tables, the data show:\n1.\nMost of the changes in the welfare caseload can be attributed to changes in\nthe composition of the population as a whole -- specifically, population\ngrowth explains nearly two-thirds of the difference in caseload decline\nbetween Hispanics and whites and nearly half the difference between blacks\nand whites.\nSince 1994, the number of welfare cases has indeed dropped more among\nwhites (26 percent) than among blacks (18 percent) and Hispanics (9 percent).\nHowever, when population growth is taken into account, the difference narrows\ndramatically. The rate of welfare dependency has dropped sharply for all\npopulations - -- by 26 percent among whites, 21 percent among blacks, and 20\npercent among Hispanics. In other words, minorities are leaving or staying off\nwelfare at nearly the same rate as whites, but make up a growing share of the\nwelfare population because they make up a growing share of the population as a\nwhole. [See Table 1.]\n2.\nThe difference in caseload decline is even narrower among adults. Since\n1994, the adult rate of welfare dependency has declined by 30% among\nwhites, 26% among blacks, and 24% among Hispanics.\ncasr_fin.wpd\nPage 3\nA. Current Initiatives\nAs you know, you have put forward many initiatives to help the\nhardest-to-serve welfare recipients and those living in concentrated areas of\npoverty. Many of these initiatives were implemented in 1998, too late to influence\n1994-1997 trends outlined above.\nThe $3 Billion Welfare-to-Work Fund you fought for in the Balanced\nBudget Act is designed specifically to help long-term welfare recipients\n(and non-custodial parents) in high-poverty areas obtain jobs and move\nup a career ladder. While it is too early to have demographic data on\nthe individuals served by these funds, the distribution formula and\nindividual eligibility criteria ensure that most of these funds will be\nspent on minorities. The first of these funds were awarded in January\n1998 and are just now starting to provide individual services.\nWelfare to Work Transportation Funds enacted in the TEA-21\ntransportation reauthorization bill will help welfare recipients and\nlow-income workers get to where the jobs are, often in suburban areas\nnot served by public transportation. The omnibus budget bill includes\n$75 million for this year.\nWelfare-to-Work Housing Vouchers we've proposed will help families\nin isolated urban or rural areas move closer to job opportunities.\nCongress has funded our request for 50,000 vouchers.\nCommunity Empowerment Initiatives. The Administration's\nCommunity Empowerment initiatives -- empowerment zones,\nenterprise communities, Brownfields, CDFIs -- will spur economic\ndevelopment and job creation in distressed neighborhoods and help\naddress the geographic isolation faced by minorities on welfare.\nB. New Initiatives\nIn preparation for next year's budget, we are developing a number of options\nto address the particular challenges faced by minorities in making the transition\nfrom welfare to work:\nIncreasing Investments in English-Language and Literacy Training. We\nhope to recommend targeted new investments in two areas that\ndirectly affect minority and long-term recipients: learning English and\nlearning to read. This could be done by expanding existing\nDepartment of Education adult education programs, or better yet, by\ndedicating Welfare-to-Work funds for job-related literacy and ESL\ncasr_fin.wpd\nPage 4\nprograms, provided either in the workplace or by community\norganizations preparing individuals for employment.\nExpanding Work-Related Drug Treatment. Since many of those\nremaining on welfare suffer from drug or alcohol dependencies, we are\nexploring ways to provide drug treatment for those who agree to go to\nwork.\nTargeting Welfare-to-Work Funds to the Toughest Areas. While the\ncurrent Welfare-to-Work formula favors high-poverty areas, we are\ngoing to examine whether the funds could be even more targeted.\nIncreasing Work and Child Support Among Noncustodial Fathers. We\nmay be able to attract bipartisan support for an effort to help states\nincrease the employment and child support payments of noncustodial\nparents.\nMinority Caseloads Analysis and Tables\nTable 1: Population-Adjusted Change in Rate of Welfare Dependency\nSince 1994, the number of welfare cases has dropped more among whites\n(26 percent) than among blacks (18 percent) and Hispanics (9 percent). However,\nwhen population growth is taken into account, the difference narrows dramatically.\nThe rate of welfare dependency has dropped sharply for all populations -- by 26\npercent among whites, 21 percent among blacks, and 20 percent among Hispanics.\nSpecifically, population growth explains nearly two-thirds of the difference in\ncaseload decline between Hispanics and whites and nearly half the difference\nbetween blacks and whites.\nTable 1: Change from 1994 to 1997*\nRace/Ethnicity\nNumber of Welfare\nPopulation\nRate of Welfare\nCases\nAged 15-49\nDependency (caseload\nadjusted for population)\nWhite\n-26%\n-0.1%\n-26%\nBlack\n-18%\n4.4%\n-21%\nHispanic\n-9%\n13.0%\n-20%\ncasr_fin.wpd\nPage 5\n* National data is only available through June 1997. We do not yet have more recent data, or\nstate-specific data, that we consider accurate. in July, The New York Times reported more recent\ndata provided by some states, but HHS believes that data, particularly for New York and California,\nmay contain significant reporting errors due to states implementation of the new TANF data\nreporting system. The trends in population aged 15-49 are used here because this is the population\ngroup most likely to be a welfare head of household, whose race/ethnicity would be counted when\ntallying the case demographics.\nTable 2: Population-Adjusted Adult Rate of Decline\nThe difference in caseload decline among groups is even narrower for adults.\nChild-only cases are decreasing more slowly than the overall welfare caseload and\nare disproportionately minority; in fact, between 1994 and 1997 they increased\n(though they declined slightly between 1996 and 1997). Child-only cases are those\nin which the parent or adult is not part of the case, (e.g., adult is not a citizen but\nthe child is; child is being cared for by a relative who is not part of the case; parent\nreceives SSI rather than welfare). Therefore, child-only cases are not significantly\naffected by welfare to work efforts. After adjusting for population growth, the rate\nof welfare dependency for adults (percent of 15-49 year old population on welfare)\nhas declined 30% among whites, 26% among blacks, and 24% among Hispanics.\nTable 2: Population-Adjusted Rate of Decline in Adult Welfare Dependency: 1994 -\n1997*\nRate of decline\nRate of\nRate of decline\nPopulation-adjust\nfor all cases\nincrease for\nfor adult-headed\ned rate of welfare\nchild-only\ncases\ndependency for\ncases\nadult cases\nWhite\n- 26%\n7%\n- 30%\n- 30%\nBlack\n- 18%\n3%\n- 23%\n- 26%\nHispanic\n- 9%\n9%\n- 15%\n- 24%\n*National data is only available through June 1997.\nTable 3: Racial Breakdown of Adult Cases\nThe composition of the welfare caseload have changed gradually over the\npast 25 years, driven largely by population changes. Despite differing rates of\ncaseload decline since 1994, the composition of the adult welfare caseload has\nremained relatively constant.\nTable 3: Racial Breakdown of Adult Cases\ncasr_fin.wpd\nPage 6\nRace/Ethnicity\n1994\n1997*\nWhite\n40%\n37%\nBlack\n36%\n37%\nHispanic\n19%\n21%\nAsians, Native Americans, and those designated \"Unknown\" comprise the rest of the caseload.\n*National data is only available through June 1997.\nTable 4: Employment Rate of Welfare Recipients\nThere is encouraging evidence that the employment rates of minority welfare\nrecipients (people on welfare in one year who were working the following year) are\ncatching up with the employment rate for whites.\nTable 4: Employment Rate of Welfare Recipients: 1996-98\nRace/Ethnicity\n1996\n1998\nPercent Change\n96-98\nWhite\n36%\n38 %\n+5%\nBlack\n23 %\n33 %\n+ 44%\nHispanic\n19 %\n29 %\n+ 49%\nAll Recipients\n27%\n34%\n+ 28%\nTable 5: Trends in Marriage Rates and Births\nThe trends in marriage rates and births to unmarried women could\nexacerbate the increasing proportion of Hispanic families on welfare. While the\nproportion of never-married single mothers is increasing for the entire population,\nthe rate of increase is largest for Hispanic women. Also, the birth rate to unmarried\nteenagers remains much higher for blacks and Hispanics than for whites. While the\nrate is decreasing for blacks and slightly for whites, it continues to increase for\nHispanics. For example, between 1991 and 1996, the rate of births to unmarried\nteenagers decreased 18% for blacks and 4% for whites, but increased 3% for\nHispanics.\n1992\n1997\n% Change\n% of all single mothers who were\n30%\n35%\n+ 17%\nnever married\nNever-married single mothers by race/ethnicity:\nWhite\n17%\n21%\n+ 24%\nBlack\n51%\n55%\n+ 8%\ncasr_fin.wpd\nPage 7\nHispanic\n33%\n42%\n+27%\nTable 6: Characteristics of Minorities on the Caseload\nMinorities on welfare are more likely to have characteristics associated with\nlong-term welfare recipiency. Blacks and Hispanics on welfare tend to have lower\neducational levels, marriage rates, and larger families than whites, and are more\nthan twice as likely to live in central cities and areas of concentrated poverty.\nHispanics also have less recent work history than whites or blacks.\nTable 6: Characteristics of AFDC/TANF Recipients by Race/Ethnicity*\nTOTAL\nWHITE\nBLACK\nHISPANIC\n% without HS\n43%\n30%\n43%\n64%\ndiploma\n% never married\n47%\n33%\n69%\n43%\n> 2 children\n29%\n20%\n33%\n39%\nWorked during the\n45%\n49%\n48%\n33%\nyear\nLive in area w/\n48%\n29%\n67%\n58%\npoverty rate > 20%\nLive in central city\n49%\n29%\n68%\n60%\n*These data are from the March 1998 Current Population Survey, showing characteristics of\nrecipients in 1997.\nMinorities are more likely to be long-term welfare recipients. For example, in\n1997, 20 percent of blacks on welfare had been on the rolls for at least five\ncontinuous years, compared to 19 percent for Hispanics and 14 percent for whites.\n12/21/98 09:17\nPROGRAM DEVELOPEMENT DIVISON\n912024567431\nNO. 937 P001/004\nUSDA:FCS:FSP:PDD:PDB\nFAX\n3101 PARK CENTER DRIVE\nROOM 718\nALEXANDRIA, VA 22302\nNumber of pages 12/21/98 including cover sheet\nDate\nTo:\nFrom:\nCynthico Rice\nARTHUR T. FOLEY\nDIRECTOR\nPROGRAM\nDEVELOPMENT\nDIVISION\nPhone\nPhone\n703-305-2490\nFax Phone\n456-7431\nFax Phone\n703-305-2486\nCC:\nREMARKS:\nUrgent\nFor your review\nReply ASAP\nPlease comment\nWho is Leaving the Food Stamp Program?\nDetailed Table\n12/21/98 09:17\nParticipants\nParticipants\nParticipation\nPercent\nPercent of\nSubgroup\nin 1994\nin 1997\nChange in\nDecline from\n(In thousands)\n(in thousands)\n(in\n(ii)\nParticipation\nSubgroup\nLegal Permanent\nResident Aliens\n1,537\n706\n831\n54.07 %\n14.01 %\nChildless\nUnemployed\n1,148\n648\n500\n43.55 %\n8.43 %\nAdults\nAFDC/TANF\nReciplents\n13,052\n9,442\n3,610\n27.66%\n60.87 %\nPROGRAM DEVELOPEMENT DIVISON -> 912024567431\nAll Other\nParticipants\n11,697\n10,707\n990\n8.46%\n16.69%\nTotal\nParticipants\n27,434\n21,503\n5,931\n21.62%\n100.00 %\nNotes:\n1. Participation obtained from July-September Food Stamp Program Quality Control data for 1994 and 1997.\n2. All subgroups are mutually exclusive. Childless unemployed adults do not include Legal Permanent Resident\naliens. Likewise, AFDC/TANF recipients do not include aliens or childless unemployed adults.\nNO.937 P002/004\nWho has left the FSP?\n09:17 12/21/98\n1994 Caseload Distribution\nAliens\nShare of 1994-1997 Decline\nABAWDs\nOthers\nAliens\n17%\n14%\nABAWDs\n8%\n0\nPROGRAM DEVELOPEMENT DIVISON\n>\nAFDC/TANF\n47%\nAFDC/TANF\n912024567431\n61%\nNO.937 P003/004\nAre Children of Legal Immigrants Leaving\nthe Program Faster than Other Children?\n12/21/98 09:17\nChild Liveswith\nChild Does Not Live\nlien:,\nwith Legal- Alien\nNumber of Child\nJumber of Children\nOctober 1996\n1,251,000\n11,034,000\nSeptember 1997\n742,000\n9,804,000\nPROGRAM DEVELOPEMENT DIVISON -> 912024567431\nDrop\n434,000\n1,682,000\nPercent Drop\n36.90%\n14.64%\nNotes:\n1. Numbers obtained from Fiscal Year 1997 Food Stamp Quality Control data.\n2. Children in both groups are citizens. Those living with a legal alien are those whose household contains a legal\npermanent resident who was affected by the restrictions on benefits to immigrants as a result of welfare reform.\nNO.937 P004/004\n931\nTABLE 15-5.-COUNTED (NET) AND BASIC (GROSS) MONTHLY INCOME ELIGIBILITY\nLIMITS FOR THE FOOD STAMP PROGRAM, FISCAL YEAR 1998\n48 States, the\nDistrict of\nHousehold size\nAlaska\nHawaii\nColumbia, and the\nterritories\nCounted (net) monthly income eligibility lim-\nits 1.\n1 person\n$658\n$823\n$756\n2 persons\n885\n1,106\n1,017\n3 persons\n1,11D\n1,390\n1,278\n4 persons\n1,338\n1,673\n1,539\n5 persons\n1,565\n1,956\n1,800\n6 persons\n1,791\n2,240\n2,060\n7 persons\n2,018\n2,523\n2,321\n8 persons\n2,245\n2,806\n2,582\nEach additional person\n+227\n+284\n+261\nBasic (gross) monthly income eligibility lim-\nits 2:\n1 person\n855\n1,070\n983\n2 persons\n1,150\n1,438\n1,322\n3 persons\n1,445\n1,806\n1,661\n4 persons\n1,739\n2,175\n2,000\n5 persons\n2,034\n2,543\n2,339\n6 persons\n2,329\n2,911\n2,678\n7 persons\n2,623\n3,280\n3,018\n8 persons\n2,918\n3,648\n3,357\nEach additional person\n+295\n+369\n+340\n1 Set at the applicable Federal poverty guidelines, updated for inflation through calendar 1996.\n2 Set at 130 percent of the applicable Federal poverty guidelines, updated for inflation through cal-\nendar 1996.\nSource: U.S. Department of Agriculture, Food and Consumer Service.\nCounted liquid assets include cash on hand, checking and sav-\nings accounts, savings certificates, stocks and bonds, individual re-\ntirement accounts (IRAs) and \"Keogh\" plans (less any early with-\ndrawal penalties), and nonrecurring lump-sum payments such as\ninsurance settlements. Certain \"less liquid\" assets are also counted:\na portion of the value of vehicles (generally, the fair market value\nin excess of $4,650) and the equity value of property not producing\nincome consistent with its value (e.g., recreational property).\nCounted assets do not include the value of the household's resi-\ndence (home and surrounding property), business assets, personal\nproperty (household goods and personal effects), lump-sum earned\nincome tax credit payments, burial plots, the cash value of life in-\nsurance policies and pension plans (other than Keogh plans and\nIRAs), and certain other resources whose value is not accessible to\nthe household or are required to be disregarded by other Federal\nlaws.\nWork-related requirements\nUnless exempt, most able-bodied adults must (to gain or retain\neligibility) (1) register for work (typically with the welfare agency\n266 / THE RAND JOURNAL OF ECONOMICS\nThis solution is implemented by a tariff P(q) such that the marginal price P'(q) is\nlarger than the marginal cost C'(q) for all relevant consumption levels. Moreover, it is\nimmediate to verify that P(q) C(q). All consumers thus contribute to profits, both in\nabsolute and in marginal terms.\n3. Competitive bypass\nThe market structure. We now assume that competitors can sell direct access to\nlong distance, using the same bypass technology as the operator. We assume perfect\ncompetition between bypass operators, so that consumers opting for the bypass tech-\nnology face a tariff cq + ƒ, in which case a type-Θ consumer buys q(Θ) and gets a\nutility S(Θ).\nIf the local network operator wants to attract a type-Θ consumer, it must give him\na utility above S(Θ). This imposes a new participation constraint:\nU(Θ) ≥ max {S(Θ), 0}.\n(IR)\nThe optimal tariff now maximizes W subject to (IC) and this new participation\nconstraint (IR). We denote by qᶜ(Θ) the quantity consumed by type Θ under the optimal\ntariff Pᶜ(q), and by Uc(Θ) the consumer's utility.\nAs before, the incentive-compatibility conditions (IC) imply that consumption in-\ncreases with Θ. Together with technical efficiency, this implies that consumers can be\ndivided among three groups: those below some threshold, Θᶜ, are excluded; those above\nanother threshold, Θᶜ, are served through the bypass technology and consume more\nthan q;; and those in the middle range, between Θᶜ and Θᶜ, are connected to the network\nand consume less than q.-\nWe start the analysis with a result that is of general validity for the problems\naddressed here and in particular does not depend on the precise cost structure.\nProposition 1. No quantity is served at a tariff below (minimum) cost. As a conse-\nquence, bypass is priced at cost.\nThe basic intuition is as follows. Suppose that some consumers are served at a\nprice below cost. Raising the price of the consumption of all these consumers up to\ncost obviously reduces their utility, without affecting the choices of the others. How-\never, it leaves open for these consumers the option of gaining at least the total surplus\ngenerated before (by keeping their consumption unchanged). Hence, given that profit\nis now positive or null on all types, the surplus levels generated by the new choices\nof these agents must then be higher than the previous levels. As a consequence, since\nutilities have decreased, total welfare (W = S AU) increases.\nProposition 1 has an interesting implication:\nCorollary 1. The optimal strategy is the same whether the operator is allowed to sell\nbypass or not.\nProof. From Proposition 1, one optimal strategy is to sell no bypass (i.e., to leave\nbypass, which generates no profit, to competitors) and to sell qᶜ(Θ) to types\nObviously this strategy remains optimal if the operator is not allowed to sell bypass.\nQ.E.D.\nSo far, we have assumed that competition among bypass operators leads to mar-\nginal cost pricing (for both access and use). Using a standard Bertrand type of argu-\nment, the next result shows that, more generally, the same pricing policy would emerge\nin equilibrium as soon as the incumbent monopoly and at least one competitor have\naccess to the bypass technology.\n934\ntion); and States may impose food stamp disqualification when an\nindividual is disqualified from another public assistance program.\nAutomatic disqualification is required for those applying in mul-\ntiple jurisdictions, fleeing arrest, or convicted of a drug-related fel-\nony. And States may disqualify individuals not cooperating with\nchild support enforcement authorities or in arrears on their child\nsupport obligations.\nBENEFITS\nFood stamp benefits are a function of a household's size, its net\nmonthly income, and maximum monthly benefit levels (in some\ncases, adjusted for geographic location). An eligible household's net\nincome is determined (i.e., deductions are subtracted from gross in-\ncome), its maximum benefit level is established, and a benefit is\ncalculated by subtracting its expected contribution (30 percent of\nits counted net income) from its maximum allotment. Thus, a 3-\nperson household with $400 in counted net income (after deduc-\ntions) would receive a monthly allotment of $201 (the maximum 3-\nperson benefit in the 48 States, $321, less 30 percent of net income,\n$120).\nAllotments are not taxable and food stamp purchases may not be\ncharged sales taxes. Receipt of food stamps does not affect eligi-\nbility for or benefits provided by other welfare programs, although\nsome programs use food stamp participation as a \"trigger\" for eligi-\nbility and others take into account the general availability of food\nstamps in deciding what level of benefits to provide. In fiscal year\n1996, monthly benefits averaged $73 a person and about $183 a\nhousehold.\nMaximum monthly allotments\nMaximum monthly food stamp allotments are tied to the cost of\npurchasing a nutritionally adequate low-cost diet, as measured by\nthe Agriculture Department's Thrifty Food Plan (TFP). Maximum\nallotments are set at: the monthly cost of the TFP for a four-person\nfamily consisting of a couple between ages 20 and 50 and two\nschool-age children, adjusted for family size (using a formula re-\nflecting economies of scale developed by the Human Nutrition In-\nformation Service), and rounded down to the nearest whole dollar.\nAllotments are adjusted for food price inflation annually, each Oc-\ntober, to reflect the cost of the TFP in the immediately previous\nJune.\nMaximum allotments are standard in the 48 contiguous States\nand the District of Columbia; they are higher, reflecting substan-\ntially different food costs, in Alaska, Hawaii, Guam, and the Virgin\nIslands (table 15-6).\nMinimum and prorated benefits\nEligible one- and two-person households are guaranteed a mini-\nmum monthly food stamp allotment of $10. Minimum monthly ben-\nefits for other household sizes vary from year to year, depending\non the relationship between changes in the income eligibility limits\nand the adjustments to the cost of the TFP. In a few cases, benefits\ncan be reduced to zero before income eligibility limits are exceeded.\nCURIEN, JULLIEN, AND REY /\n267\nCorollary 2. The operator's optimal pricing strategy, the solution to the above program,\nis also part of a Nash equilibrium, in which the bypass competitor(s) prices (price)\naccess and usage at marginal cost.\nProof. By construction, the above optimal pricing policy is a best response to such\npricing behavior from bypass operators. But this policy leaves no room for positive\nprofits for the bypass operators, which thus cannot do better than marginal cost\npricing. Q.E.D.\nTariff, consumptions and market shares. The precise analysis of the optimi-\nzation problem is given in the Appendix. The first-order condition with respect to q(Θ)\nyields\nwhere φ(Θ) is the shadow value of the incentive constraint.\nThis condition expresses the familiar tradeoff between informational rents and\nefficiency. φ(Θ) measures the cost of the rents that must be given to consumers to keep\ntypes close to Θ from consuming q(Θ). As usual, this cost induces a deviation from the\n\"first-best\" level; however, in contrast with the standard case, φ may be either positive\nor negative. Underconsumption is associated with φ(Θ) < 0 and a marginal price above\nmarginal cost. This occurs when the problem faced is to prevent larger consumers from\nreducing their consumption, as in the standard nonlinear pricing model. Incentive com-\npatibility is then best achieved by reducing the consumption q(Θ)-along with the total\nprice P(q(Θ))-since low-quantity/low-price bundles are less attractive for higher-val-\nuation consumers. But φ can also be positive, in which case q(Θ) is larger than q(Θ).\nThis can be understood as follows. The operator has to match the bypass tariff, which\nis particularly attractive for large levels of consumption. This not only benefits large\nusers, it also gives medium-size users an incentive to increase their consumption. To\nprevent this, the operator raises the consumption of large consumers compared to the\nfirst best-along with an increase of the total bill-to make the quantity/price bundle\nless attractive to consumers with lower willingness to pay. As a result,\nProposition 2. There exists σᶜ and Θᶜ such that Θᶜ < Θᶜ < Θᶜ ≤ Θᶜ and\nqᶜ(Θ) < qFB(Θ) on 10c, σ[,\nqᶜ(Θ) > qFB(Θ) on ]Φ, Θ°[,\n> S(Θ) for all Θ <\nTo prevent medium-range consumers (between Θᶜ and Θᶜ) from using bypass, the\noptimal tariff induces overconsumption-the marginal price P'(q) on the local network\nis thus below the marginal cost c for those consumers' consumption levels. This occurs\nbefore the participation constraint starts to be binding (for all consumers between Θᶜ\nand Θc). It is even possible that all consumers connected to the network, including those\nwho overconsume, receive a strictly positive net surplus (i.e., Öᶜ = Θc).\nLemma 1. If c is small enough, Uc(Θ) > S(Θ) for all Θ < Θᶜ.\nClearly, given the consumption profile, the allocation of consumers between the\ntwo technologies is technically efficient. However, the allocation involves global in-\nefficiencies in market shares due to the quantity distortions.\n935\nAt present, minimum monthly allotments for households of three\nor more persons range from $2 to over $80.\nIn addition, a household's calculated monthly allotment can be\nprorated (reduced) for 1 month. On application, a household's first\nmonth's benefit is reduced to reflect the date of application. If a\npreviously participating household does not meet eligibility recer-\ntification requirements in a timely fashion, but does become cer-\ntified for eligibility subsequently, benefits for the first month of its\nnew certification period normally are prorated to reflect the date\nwhen recertification requirements were met.\nTABLE 15-6.-MAXIMUM MONTHLY FOOD STAMP ALLOTMENTS, FISCAL YEAR 1998\n48\nStates\nand the\nHousehold size\nAlaska I\nHawaii\nGuam\nVirgin\nDistrict\nIslands\nof Co-\nlumbia\n1 person\n$122\n$154\n$197\n$180\n$157\n2 persons\n224\n283\n361\n331\n288\n3 persons\n321\n405\n517\n474\n413\n4 persons\n408\n514\n657\n602\n525\n5 persons\n485\n611\n780\n715\n623\n6 persons\n582\n733\n936\n858\n748\n7 persons\n643\n810\n1,035\n948\n827\n8 persons\n735\n926\n1,183\n1,083\n945\nEach additional person\n+92\n+116\n+148\n+135\n+118\n1 Maximum monthly allotments for designated urban areas of Alaska. Two separate higher allotment\nlevels are applied in remote rural areas of Alaska. They are 28 and 55 percent higher than the urban\nallotments shown here.\nSource: U.S. Department of Agriculture.\nApplication, processing, and issuing food stamps\nFood stamp benefits normally are issued monthly. The local wel-\nfare agency must either deny eligibility or make food stamps avail-\nable within 30 days of initial application and must provide food\nstamps without interruption if an eligible household reapplies and\nfulfills recertification requirements in a timely manner. Households\nin immediate need because of little or no income and very limited\ncash assets, as well as the homeless and those with extraordinarily\nhigh shelter expenses, must be given expedited service (provision\nof benefits within 7 days of initial application).\nFood stamp issuance is a welfare agency responsibility, and\nissuance practices differ among welfare agencies. Most food stamp\ncoupons are issued by: (1) providing (usually mailing) recipients an\nauthorization-to-participate (ATP) card that is then turned in at a\nlocal issuance point (e.g., a bank or post office) when picking up\ntheir monthly allotment; or (2) mailing food stamp coupon allot-\nments directly to recipients. However, in a growing number of\nStates, electronic benefit transfer (EBT) systems are used. EBT\nsystems replace coupons with an ATM-like card used to make food\npurchases at the point of sale by deducting the purchase amount\nfrom the recipient's food stamp benefit account. EBT issuance is\n268 / THE RAND JOURNAL OF ECONOMICS\nProposition 3. ΘFB and Θᶜ <\nCompared with the full-information case, the operator excludes more small users\nand the range of bypass increases. For small consumers, the analysis is similar to the\npure (protected) monopoly: to reduce rents, the operator excludes the smallest consum-\ners and reduces the consumption of the other ones. But for large users, the operator\nmust leave the bypass surplus to the largest ones and increase the consumption of the\nother ones, which tends to reduce the market share of the network technology. The\nnature of the inefficiencies is illustrated by the boundary conditions\nf = 0\n+ f = cq(Θ) f,\nwhich reduce to\n= )\nS(Φ, qᶜ(Θᶜ)) S(Θc, = g(Θ) (V(q()) V(q°(Θᶜ))).\nThese conditions express the tradeoff between the marginal benefit of serving one\nmore consumer through the local network and either not serving him at all (first condition)\nor serving him using the bypass technology. Transversality conditions, moreover, imply\nφ() < 0 and φ(Θ) > 0. Hence S(Θc, qᶜ(Θᶜ)) > 0 and S(Θ, q°(Θ)) - S(Θ, q())) ≥ 0\n(> 0 if q(Θᶜ) > qᶜ(Θᶜ)). Including more types at the lower margin always raises the\ntotal surplus but forces the operator to reduce the price offered to all inframarginal\nconsumers and reduces profits. The same is true at the higher margin if consumers just\nbelow Θᶜ strictly prefer to stay in the network (then > qᶜ(Θᶜ)). If large customers\nof the network are just indifferent between the network and bypass, they consume as\nunder bypass (qc(Θ) = q(Θ)), and their allocation between the network and bypass is\nonly a matter of technical efficiency; in this case, the market share of bypass is locally\nefficient.\nAlthough there are inefficiencies, Proposition 1 shows that no consumer is globally\nsubsidized (in absolute terms). The optimal tariff can be interpreted as follows. The\noperator lets competitors serve consumers under bypass and uses only the network\ntechnology. It sells only up to a maximal quantity q°(Θᶜ) < qₑ, with an access fee\nP(0) > 0 and a nonlinear variable tariff P(q) - P(0). The marginal price P (g) is above\nthe network marginal cost for low quantities and below the network marginal cost for\nlarge quantities, and it is actually possible to show that P(q) > C(q) for q<q\nComparative statics. We present here some comparative statics that will help\nexplain the impact of bypass. We assume here that the marginal cost of bypass is small,\nso that Lemma 1 applies. (All claims are proved in the Appendix.)\nTo illustrate the nature of the externality imposed by the competitive pressure, let\nus consider an increase in the connection cost of bypass f. This weakens the competitive\npressure on the operator and, as intuition suggests, reduces the market share of bypass.\nObviously, the utility of bypass consumers decreases because of the direct increase in\nthe competitive price for bypass, cq + f. As an indirect consequence, lowering the\nDear Commissioner:\nThe Administration is committed to ensuring that all eligible low-income households have\naccess to vital Federal food assistance programs such as the Food Stamp program. The Food Stamp\nprogram, which provides food assistance benefits to more than 19 million eligible individuals\nnationwide, is the cornerstone of our efforts to guarantee a healthy and nutritious diet to all low-\nincome families. Due to welfare reform and to today's strong economy, many households are\nfinding employment and leaving the Temporary Assistance for Needy Families (TANF) program.\nWe want to continue to work together to ensure that policy innovations in TANF do not\ninadvertently result in diminished access to food assistance for those who still need assistance,\nincluding working families.\nRecently we polled all the State agencies to find out if they were in compliance with food\nstamp application processing regulations. We learned that most State agencies are continuing to\nencourage households to apply for food stamps even if they have been diverted from applying for\nTANF. They are continuing to process food stamp applications even for households that have been\ndenied TANF. Moreover, they are continuing to keep eligible households on the food stamp rolls\nafter they have left TANF. Finally, many State agencies have taken special steps to avoid\nimproperly denying or delaying food stamp receipt by providing special training for eligibility\nworkers and/or sending notices to local offices reiterating the need to follow food stamp application\nprocessing regulations.\nWhile most of the feedback has been positive, your continued cooperation with federal law\nwill ensure that low income families have the opportunity to apply for food stamps and receive\nbenefits to which they are entitled. We want to highlight several circumstances where State\nagencies need to pay particular attention to the food stamp application processing regulations.\nApplication for Benefits: Many States are diverting households from going on\nthe TANF rolls. Households may be required to engage in job search prior\nto filing an application for TANF. These pre-application requirements for\nTANF cannot be applied to food stamps. Therefore, in these instances, it is\nparticularly important that the State agency make sure that applicants are fully\naware of their right to file an application for food stamps.\nProcessing the Application: In some States, applications for TANF are put on\nhold until the applicant has completed the pre-application requirements. In\nthese circumstances, it is imperative that the State agency continue to process\nthe food stamp application and screen it for expedited service despite the delay\nin processing the TANF application.\nDetermining Eligibility: In some circumstances, TANF-required job search may\nresult in an applicant getting a job and therefore being denied TANF based on\nhis/her earnings. Or, the applicant may accept a lump sum diversion payment\nCHARACTERISTICS OF FOOD STAMP HOUSEHOLDS:\nFISCAL YEAR 1997\n(Advance Report)\nUnited States Department of Agriculture\nOffice of Analysis and Evaluation\nFood and Nutrition Service\nOctober 1998\nT\nhe FSP is the nation's largest food\nchildren received an average monthly food stamp\nassistance program. In fiscal year 1997; it\nbenefit of $234, reflecting their relatively large\nserved an average of 22.9 million people\naverage size (3.4 persons). Single-parent homes\nper month. Almost $19.6 billion was paid out in\n(3.1 persons on average) received an average of\nfood stamps that year.\n$228 in food stamps, and multiple-adult homes\nwith children (4.5 persons on average) received an\nFood stamps are made available to virtually all\naverage of $268.\nlow-income households with few resources to\nsupplement their food purchases and help them\nHouseholds containing elderly persons\nmaintain a healthy diet. In fiscal year 1997, food\nrepresented 17.6 percent of all food stamp\nstamps were approximately one-fourth of a\nhouseholds. Slightly over three-quarters of them\nparticipating household's total monthly income\nwere single-person households, which received an\n(cash plus food stamps). If the value of food\naverage monthly benefit of $47. Households\nstamps was counted in addition to cash as gross\ncontaining elderly and other persons received an\nincome, over one-fifth of food stamp households\naverage benefit of $118. A substantial proportion\nwould move from below to above half the poverty\nof food stamp households contained disabled\nline (Figure 1).\npersons (22.3 percent); these households received\nan average benefit of $104.\nIn fiscal year 1997, slightly over half of all food\nstamp participants were children, most of whom\nII. Characteristics of Food Stamp Participants\nlived in single-parent households (Figure 2). The\nremaining participants were nonelderly adults\nAmong adult participants (age 18 or older),\n(40.6 percent) or elderly adults--age 60 or older--\nwomen outnumbered men by over two to one\n(7.9 percent).\n(Table 2). Of the children participating, 34.1\npercent were of preschool age (0 to 4 years), and\nI. Composition of Food Stamp Households\n65.9 percent were of school age (5 to 17 years).\nIn fiscal year 1997, the majority (58.3 percent) of\nThe largest proportion of food stamp participants\nfood stamp households contained children (Table\nwere white, non-Hispanic (40.3 percent); about\n1). Of these households, over two-thirds (69.1\none-third were African-American, non-Hispanic\npercent) were single-parent homes, approximately\n(34.9 percent); and approximately one-fifth were\none-quarter (24.7 percent) were multiple-adult\nHispanic (19.2 percent). The remaining\nhomes, and the remaining households contained\nparticipants were Asian, Native American, or of\nno members over the age of 17. Households with\nanother race or ethnicity (Table 3).\nThis brief was prepared by Scott Cody and Jacquelyn Anderson of Mathematica Policy Research, Inc. Programming\nsupport was provided by Mark Brinkley. The information presented in this brief is based on data collected by the Food\nand Nutrition Service for quality control purposes for fiscal year 1997.\nPage 2\nFIGURE 1\nPOVERTY STATUS OF FOOD STAMP HOUSEHOLDS\nWITH AND WITHOUT FOOD STAMPS, 1997\n51 to 100% of Poverty\n51 to 100% of Poverty\n51.5%\n66.6%\n101% + of\nPoverty\n8.6%\n15.3%\n101% + of\n18.1%\n39.9%\nPoverty\nPoorest Households\nPoorest Households\n(50% of Poverty or Less)\n(50% of Poverty or Less)\nCASH ONLY\nCASH AND FOOD STAMPS\nFIGURE 2\nDISTRIBUTION OF FOOD STAMP PARTICIPANTS, 1997\nChildren in Single\nParent Households\n34.4%\nNonelderly Adults\n40.6%\n2.8% Children in\nOther Households\nElderly Adults 7.9%\n14.3%\nChildren in Multiple\nAdult Households\nSource: 1997 Food Stamp Quality Control sample.\nPage 3\nIII. Benefits and Income of Food Stamp\nMinnesota, New Hampshire, Ohio, and Vermont--\nHouseholds\nstates with typically above-average gross\nhousehold income and below-average household\nThe average monthly food stamp benefit in fiscal\nsize.\nyear 1997 was $169. The majority (68.6 percent)\nof food stamp households received monthly\nV. Change in Participation Over Time\nbenefits of over $100, and 36.4 percent received\nover $200 (Table 4). In fiscal year 1997, 80.7\nThe number of persons participating in the FSP\npercent of all benefits went to households with\ngrew substantially between 1989 and 1994 and\nchildren, and 6.6 percent of all benefits went to\nhas declined steadily since 1994 (Figure 3).\nhouseholds with elderly members (not shown).\nSpecifically, the number of food stamp\nparticipants grew from 18.9 million persons in\nThe average monthly gross income of food stamp\n1989 to a record high of 28.0 million in March\nhouseholds was $558 (Table 5). The majority of\n1994 and has decreased to 22.1 million in June\nhouseholds (78.4 percent) received unearned\n1997. The change in the number of Food Stamp\nincome from one or more of the following\nProgram participants is associated with changes in\nsources: Aid to Families with Dependent\nthe economy, as indicated by the number of\nChildren/Temporary Assistance to Needy\nunemployed persons and the number of persons\nFamilies (AFDC/TANF), General Assistance\nliving in poverty. For example, Figure 3 shows\n(GA), Social Security, Supplemental Security\nthat the surge in FSP participation between 1989\nIncome (SSI), Unemployment Compensation, or\nand 1994 was associated with a worsening\nsome other payment such as veterans benefits or\neconomy, and the drop in participation since 1994\neducational loans. Slightly less than one-forth of\nhas been associated with an improving economy.\nall households (24.2 percent) received earned\nincome. Almost a tenth (9.2 percent) received\nThe changes in program participation have been\nzero gross income.\naccompanied by changes in the composition of the\ncaseload (Table 7). Although households with\nIV. Characteristics of Food Stamp Households\nchildren remain a large proportion of the caseload,\nby State\nthat proportion has dropped from a high of 62.2\npercent in 1992 to 58.3 percent in 1997. On the\nIn fiscal year 1997, over half of all food stamp\nother hand, the proportion of households with\nhouseholds were located in eight states:\nelderly has risen from a low of 15.4 percent in\nCalifornia, Florida, Illinois, Michigan, New York,\n1992 to 17.6 percent in 1997. However, the most\nOhio, Pennsylvania, and Texas (Table 6). The\nsubstantial change in caseload composition has\naverage monthly food stamp benefit varied by\nbeen the dramatic rise in the proportion of\nstate, reflecting differences in income, expenses,\nparticipating households with disabled persons,\nhousehold size, and composition. Average\nrising from a low of 8.9 percent in 1990 to 12.5\nmonthly benefits were largest in Alaska, Hawaii,\npercent in 1994, and from 18.9 percent in 1995 to\nGuam, and the Virgin Islands because the\n22.3 percent in 1997.\nmaximum allotment is set higher in those areas to\naccommodate higher costs of living. Within the\nChanges Under PRWORA. The Personal\ncontiguous United States, food stamp benefits\nResponsibility and Work Opportunity\nwere highest (greater than $200) in Arizona and\nReconciliation Act of 1996 (PRWORA) took\nTexas--states with above-average household size.\neffect in FY 1997. This legislation, enacted\nConversely, average monthly food stamp benefits\nAugust 22, 1996, made the following significant\nwere lowest (less than $140) in Connecticut,\nmodifications to the FSP:2\nPage 4\nFIGURE 3\nFOOD STAMP PROGRAM PARTICIPANTS,\nUNEMPLOYED PERSONS, AND POOR PERSONS\nMillions\n40\nPersons in poverty a\n30\nb\nFSP participants\n20\n10\nUnemployed persons c\n0\n84\n85\n86\n87\n88\n89\n90\n91\n92\n93\n94\n95\n96\n97\nYear\n\"Annual values. The number of persons in poverty in Fiscal Year 1997 was not available when this report went to print.\nSource: Bureau of the Census, Poverty in the United States: 1996, Series P60-198.\nᵇAverage monthly values. Source: Food and Nutrition Service, Fiscal Years 1984-1997 FSP Participation and Issuance.\n°Average monthly values. Source: Economic Report of the President, 1998 Table B-36.\nPage 5\nMost legal permanent resident aliens are\nhouseholds, regardless of almost any nonfinancial\ndisqualified from the FSP.³\ncategorical criteria. Second, instead of cash, it\nprovides benefits in the form of coupons or\nMost able-bodied, nonworking, childless adults\nelectronic benefits which can be redeemed for\nare limited to 3 months of FSP benefits in any\nfood in any of about 200,000 authorized stores\n36-month period.\nacross the nation. The cost of providing food\nstamps to needy persons is funded fully by the\nThe maximum food stamp benefit is reduced\nfederal government. Administrative costs are\nfrom 103 percent to 100 percent of the Thrifty\nshared by federal, state, and local governments.\nFood Plan.\nEligibility. To be eligible for food stamps, a\nThe standard deduction is frozen indefinitely at\nhousehold's assets, gross income, and net income,\nfiscal year 1996 levels.\nwhich is based on gross income less deductions\npermitted under the FSP, must not exceed\nNew shelter deduction caps are established for\nspecified levels that vary by household size,\nfiscal years 1997 through 2001, with the cap\ncomposition, and location. Most permanent\nfrozen at fiscal year 2001 levels thereafter.\nresident aliens are ineligible to join the FSP, and\nmost able-bodied, nonworking, childless adults\nThe fiscal year 1997 data provide the first picture\nare limited to 3 months of FSP benefits in any 36-\nof food stamp participants since PRWORA's\nmonth period.\nimplementation. The data show that the\npercentage of permanent resident aliens\nFood Stamp Benefit Computation and\nparticipating in the FSP fell from 5.6 percent in\nIssuance. Benefits are computed by subtracting\nfiscal year 1996 to 4.4 percent in fiscal year 1997.\n30 percent of a household's net income from the\nIn addition, the percentage of able-bodied,\nmaximum benefit amount, which is based on 100\nnonworking, childless adults participating in the\npercent of the June cost of the Thrifty Food Plan\nFSP fell from 3.6 percent in fiscal year 1996 to\n(TFP) for a family of four, adjusted for household\n2.9 percent in fiscal year 1997. PRWORA is\nsize and location. The TFP is based on the cost of\nlikely a contributing factor behind the continued\na market basket of food that provides an\noverall decline in the FSP caseload and costs\neconomical and nutritious diet. In fiscal year\nsince 1996. However, the extent to which these\n1997, the maximum benefit for a family of four in\ntrends are caused by PRWORA rather than other\nthe contiguous United States was $400 per month.\nfactors such as the economy is difficult to\nProgram participants receive their monthly\ndetermine. Furthermore, PRWORA was\nbenefits through the mail, directly from the local\nimplemented in stages throughout fiscal year\noffice, or through an electronic benefit transfer\n1997, and the average annual estimates provided\n(which is similar to a bank card).\nhere include data from before major components\nof PRWORA were in effect.\nVII. Data\nVI. Description of the Food Stamp Program\nThe estimates presented here are based on data\nextracted from the Integrated Quality Control\nThe FSP is unique among income maintenance\nSystem, which is an ongoing review of food stamp\nprograms in two important ways. First, it offers\nhouseholds designed to measure the accuracy with\nassistance to nearly all financially needy\nwhich eligibility and benefit determinations are\nPage 6\nmade. All estimates are based on a full-year\nsample of 48,854 households.\nFood and Nutrition Service administrative records\nindicate that the FSP served 22.9 million persons\nin fiscal year 1997, and food stamp households\nreceived an average benefit of $173 per month.\nThe figures in the attached tables of 23.1 million\nparticipants with an average household benefit of\n$169 vary from the administrative figures because\nthey are estimates from the Food Stamp Quality\nControl sample, which weights data by\nhouseholds rather than persons or benefits.\nAdministrative figures are based on a monthly\ncensus of actual FSP participation and benefit\nissuance.\nNotes\n¹The 1994-to-1995 increase in the proportion of\nhouseholds with disabled persons is due in part to a\nchange in the definition of households with disabled\npersons. However, using the old definition, the\nproportion with disabled still increases from 12.5\npercent to 13.3 percent.\n²A summary of the PRWORA provisions that affect the\nFSP is available from the FNS World Wide Web site\n(http://www.usda.gov/fcs/fcs.htm).\n3 The Agricultural Research Bill, enacted on June 23,\n1998, restored eligibility to a substantial number of\nlegal immigrants who lost eligibility under PRWORA.\nSpecifically, child, elderly, and disabled permanent\nresident aliens will be able to begin receiving federal\nfood stamp benefits on November 1, 1998.\nPage 7\nTable 1 - Selected Characteristics of Participating Food Stamp Households, 1997\nParticipating households\nAverage monthly values\n(dollars)\nAverage\nhousehold\nHousehold type\nsize\nNumber\nPercent\nFood stamp\nGross\nNet income\n(thousands)\nbenefit\nincome\n(persons)\nTotal\n9,452\n100.0\n169\n558\n299\n2.4\nChildren\n5,508\n58.3\n234\n648\n364\n3.4\nSingle-parent households\n3,806\n40.3\n228\n576\n302\n3.1\nMultiple-adult households\n1,360\n14.4\n268\n917\n590\n4.5\nOther\n342\n3.6\n169\n378\n162\n2.0\nElderly\n1,667\n17.6\n63\n577\n319\n1.3\nLiving alone\n1,292\n13.7\n47\n521\n266\n1.0\nNot living alone\n375\n4.0\n118\n767\n503\n2.5\nDisabled\n2,108\n22.3\n104\n687\n418\n2.1\nLiving alone\n1,110\n11.7\n52\n525\n244\n1.0\nNot living alone\n998\n10.6\n162\n868\n612\n3.4\nOther\n1,307\n13.8\n118\n185\n52\n1.1\nSingle-person\n1,168\n12.4\n110\n159\n38\n1.0\nMultiple-person\n139\n1.5\n185\n407\n170\n22\nSource: 1997 Food Stamp Quality Control sample.\nPage 8\nTable 2 - Gender and Age of Food Stamp Participants, 1997\nAll participants\nFemale\nMale\nAge\nNumber\nNumber\nNumber\nPercent\nPercent\nPercent\n(thousands)\n(thousands)\n(thousands)\nTotal\n23,117\n100.0\n13,880\n100.0\n9,233\n100.0\nChildren (0-17)\n11,871\n51.4\n5,950\n42.9\n5,918\n64.1\n0-4\n4,046\n17.5\n2,017\n14.5\n2,026\n21.9\n5-17\n7,825\n33.8\n3,933\n28.3\n3,892\n42.2\nAdults (18 or more)\n11,219\n48.5\n7,916\n57.0\n3,302\n35.8\n18-35\n5,332\n23.1\n4,007\n28.9\n1,324\n14.3\n36-59\n4,053\n17.5\n2,582\n18.6\n1,472\n15.9\n60 or more\n1,834\n7.9\n1,328\n9.6\n506\n5.5\nUnknown\n27\n0.1\n14\n0.1\n13\n0.1\nSource: 1997 Food Stamp Quality Control sample.\nTable 3 - Race/Ethnicity of Food Stamp Participants, 1997\nParticipants\nRace\nNumber\nPercent\n(thousands)\nTotal\n23,117\n100.0\nWhite, Non-Hispanic\n9,323\n40.3\nAfrican-American, Non-Hispanic\n8,072\n34.9\nHispanic\n4,441\n19.2\nAsian\n705\n3.0\nNative American\n313\n1.4\nOther\n263\n1.1\nSource: 1997 Food Stamp Quality Control sample.\nPage 9\nTable 4 - Monthly Food Stamp Benefits of Participating Food\nStamp Households, 1997\nParticipating households\nMonthly food stamp benefit\nNumber\nPercent\n(thousands)\nTotal\n9,452\n100.0\n-\n-\n$0-50\n1,726\n18.3\n$51-100\n1,236\n13.1\n$101-150\n2,085\n22.1\n$151-200\n969\n10.3\n$201-250\n1,258\n13.3\n$251-300\n660\n7.0\n$301 +\n1,519\n16.1\nSource: 1997 Food Stamp Quality Control sample.\nTable 5 - Selected Economic Characteristics of Participating Food Stamp Households, 1997\nParticipating\nPersons in households\nAverage income\nAverage\nAverage\nhouseholds\nwith source\n(dollars)\nfood\nhouse-\nIncome source\nstamp\nhold\nNumber\nNumber\nFrom\nbenefit\nsize\nPercent\nPercent\nGross\n(thousands)\n(thousands)\nsource\n(dollars)\n(persons)\nTotal\n9,452\n100.0\n23,117\n100.0\n558\n(n/a)\n169\n2.4\nEarned income\n2,284\n24.2\n7,533\n32.6\n879\n708\n187\n3.3\nWages and salaries\n2,139\n22.6\n7,105\n30.7\n898\n728\n185\n3.3\nSelf-employment\n137\n1.5\n424\n1.8\n620\n324\n225\n3.1\nOther earned income\n35\n0.4\n106\n0.5\n817\n421\n178\n3.0\nUnearned income\n7,415\n78.4\n18,036\n78.0\n580\n492\n163\n2.4\nAFDC/TANF\n3,270\n34.6\n10,649\n46.1\n569\n372\n240\n3.3\nGeneral Assistance\n588\n6.2\n899\n3.9\n411\n252\n123\n1.5\nSupplemental Security Income\n2,504\n26.5\n4,782\n20.7\n642\n372\n93\n1.9\nSocial Security\n1,999\n21.1\n3,377\n14.6\n647\n483\n77\n1.7\nUnemployment\n156\n1.7\n509\n2.2\n755\n491\n190\n3.3\nOther unearned income\n1,476\n15.6\n4,128\n17.9\n666\n211\n176\n2.8\nNo Income\n868\n9.2\n1,408\n6.1\n0\n0\n180\n1.6\nSource: 1997 Food Stamp Quality Control sample.\nPage 10\nTable 6 - Selected Characteristics of Participating Food Stamp Households by State, 1997\nAverage monthly amount\nAverage\nhouse-\nTotal\nPercent of all\nState\nFood stamp\nTotal\nCountable\nhold\n(thousands)\nhouseholds\nGross income\nNet income\nbenefit\ndeduction\nassets\nsize\n(dollars)\n(dollars)\n(dollars)\n(dollars)\n(dollars)\n(persons)\nTotal\n9,452\n100.0\n169\n558\n299\n291\n92\n2.4\nAlabama\n186\n2.0\n174\n553\n302\n292\n78\n2.5\nAlaska\n15\n0.2\n273\n928\n607\n382\n117\n3.1\nArizona\n133\n1.4\n203\n569\n305\n294\n76\n2.9\nArkansas\n105\n1.1\n159\n568\n339\n263\n163\n2.5\nCalifornia\n1,045\n11.1\n187\n594\n333\n296\n122\n2.8\nColorado\n91\n1.0\n169\n563\n277\n319\n48\n2.4\nConnecticut\n94\n1.0\n139\n596\n335\n278\n135\n22\nDelaware\n20\n0.2\n175\n577\n305\n309\n105\n2.6\nDist. of Col.\n40\n0.4\n186\n390\n201\n227\n16\n2.3\nFlorida\n514\n5.4\n168\n549\n276\n306\n139\n2.4\nGeorgia\n284\n3.0\n177\n535\n279\n298\n80\n2.5\nGuam\n6\n0.1\n408\n567\n251\n396\n118\n3.3\nHawaii\n57\n0.6\n291\n629\n355\n308\n169\n2.3\nIdaho\n27\n0.3\n175\n622\n338\n322\n175\n2.7\nIllinois\n434\n4.6\n173\n476\n252\n260\n61\n2.4\nIndiana\n140\n1.5\n167\n572\n308\n294\n123\n2.5\nIowa\n67\n0.7\n148\n625\n360\n290\n85\n2.4\nKansas\n64\n0.7\n156\n586\n323\n290\n125\n2.4\nKentucky\n174\n1.8\n165\n551\n341\n243\n109\n2.6\nLouisiana\n220\n2.3\n185\n526\n282\n277\n75\n2.6\nMaine\n58\n0.6\n149\n597\n269\n356\n109\n2.1\nMaryland\n152\n1.6\n184\n445\n220\n264\n24\n2.4\nMassachusetts\n149\n1.6\n148\n635\n333\n318\n95\n2.3\nMichigan\n366\n3.9\n161\n579\n283\n330\n57\n2.3\nMinnesota\n110\n1.2\n139\n573\n331\n270\n159\n2.2\nMississippi\n155\n1.6\n160\n550\n332\n247\n161\n2.5\nMissouri\n199\n2.1\n161\n542\n312\n264\n115\n2.4\nMontana\n27\n0.3\n171\n600\n302\n325\n236\n2.5\nNebraska\n41\n0.4\n150\n630\n361\n290\n238\n2.4\nNevada\n38\n0.4\n165\n520\n257\n305\n67\n2.3\nNew Hampshire\n21\n0.2\n116\n596\n394\n239\n173\n2.2\nNew Jersey\n212\n2.2\n176\n512\n224\n316\n42\n2.3\nNew Mexico\n75\n0.8\n179\n571\n348\n252\n107\n2.7\nNew York\n899\n9.5\n150\n603\n283\n346\n24\n2.2\nNorth Carolina\n250\n2.6\n156\n513\n289\n256\n85\n23\nNorth Dakota\n16\n0.2\n156\n637\n364\n304\n351\n2.5\nOhio\n389\n4.1\n137\n556\n325\n253\n78\n2.2\nOklahoma\n131\n1.4\n168\n534\n299\n277\n79\n2.5\nOregon\n121\n1.3\n141\n516\n289\n276\n249\n2.1\nPennsylvania\n440\n4.7\n161\n531\n265\n302\n93\n2.3\nRhode Island\n37\n0.4\n158\n562\n304\n279\n95\n2.3\nSouth Carolina\n140\n1.5\n160\n550\n346\n234\n104\n2.5\nSouth Dakota\n18\n0.2\n185\n552\n288\n313\n206\n2.6\nTennessee\n253\n2.7\n154\n564\n312\n285\n135\n2.3\nTexas\n751\n7.9\n201\n535\n296\n278\n52\n2.8\nUtah\n38\n0.4\n167\n661\n375\n312\n185\n2.7\nVermont\n25\n0.3\n125\n598\n339\n286\n164\n2.1\nVirgin Islands\n6\n0.1\n322\n490\n292\n223\n93\n3.2\nVirginia\n206\n2.2\n156\n548\n309\n268\n122\n2.3\nWashington\n198\n2.1\n157\n547\n272\n306\n56\n2.2\nWest Virginia\n117\n1.2\n168\n509\n280\n269\n90\n2.4\nWisconsin\n87\n0.9\n151\n689\n427\n287\n148\n2.7\nWyoming\n11\n0.1\n174\n583\n314\n313\n180\n2.6\nSource: 1997 Food Stamp Quality Control sample.\nPage 11\nTable 7 - Selected Characteristics of Food Stamp Households Over Time\nFiscal Year 1989-Fiscal Year 1995\nTotal\nChildren\nElderly\nDisabled\nChildren\nHouseholds\nElderly\nHouseholds\nHouseholds\n(percent\nwith children\n(percent\nwith elderly\nwith disabled\nFiscal\nParticipants\nHouseholds\nof all\n(percent\nof all\n(percent\n(percent\nYear\n(thousands)\n(thousands)\nparticipants)\nof all)\nparticipants)\nof all)\nof all)\n1997\n23,117\n9,452\n51.4\n58.3\n7.9\n17.6\n22.3\n1996\n25,926\n10,552\n51.0\n59.5\n7.3\n16.2\n20.2\n1995\n26,955\n10,883\n51.5\n59.7\n7.1\n16.0\n18.9°\n1994\n28,009\n11,091\n51.4\n61.1\n7.0\n15.8\n12.5\n1993\n27,595\n10.791\n51.5\n62.1\n6.8\n15.5\n10.7\n1992b\n25,743\n10,049\n51.9\n62.2\n6.6\n15.4\n9.5\n1991b\n22,963\n8,855\n52.0\n60.4\n7.0\n16.4\n9.0\n1990b\n20,411\n7,803\n49.6\n60.3\n7.7\n18.1\n8.9\n19892b\n18,925\n7,209\n49.8\n60.4\n8.2\n19.3\n9.1\n\"Full year analysis files were not developed for the years prior to 1989.\nᵇPrior to fiscal year 1993, food stamp cases from Guam and the Virgin Islands were excluded from the analysis files.\n°Beginning In 1995, disabled households are defined as households with at least one member under age 65 who\nreceived SSI, or at least one member age 18 to 61 who received Social Security, veterans benefits, or other\ngovernment benefits as a result of a disability. For years prior to 1995, disabled households are defined as\nhouseholds with SSI but no members over age 59. The substantial increase in the percentage of households with\na disabled member between 1994 and 1995 is due in part to the change in the definition of disabled households.\nUsing the previous definition, 13.3 percent of households included a disabled person in fiscal year 1995.\nSource: Food Stamp Quality Control samples.\nFSP Participants: FY 1988 - 1998\n29,000,000\n27,000,000\n25,000,000\n23,000,000\nPeople\n21,000,000\n19,000,000\n17,000,000\n15,000,000\n1988\n1989\n1990\n1991\n1992\n1993\n1994\n1995\n1996\n1997\n1998*\nYear\n12/1/98\nWho is Leaving the Food Stamp Program?\nDetailed Table\nParticipants\nParticipants\nPaticipation\nPercent\nPercent of\nSubgroup as\nSubgroup\nin 1994\nin 1997\nChange in\nDecline from\n% of 1997\n(In thousands)\n(in thousands)\n(in\nParticipation\nSubgroup\nLegal Permanent\nResident Aliens\n5-6%\n1,537\n706\n831\n54.07%\n14.01%\nChildless\nUnemployed\n4,2%\n1,148\n648\n500\n43.55%\n8.43%\nAdults\nAFDC/TANF\nReciplents\n13,052\n9,442\n47.5%\n3,610\n27.66%\n60.87%\nAll Other\nParticipants\n11,697\n10,707\n990\n8.46%\n16.69%\n39%\nTotal\nParticipants\n27,434\n21,503\n5,931\n21.62%\n100.00%\nNotes:\n1. Participation obtained from July-September Food Stamp Program Quality Control data for 1994 and 1997.\n2. All subgroups are mutually exclusive. Childless unemployed adults do not include Legal Permanent Resident\naliens. Likewise, AFDC/TANF recipients do not include aliens or childless unemployed adults.\nSINGLE PARENT FAMILIES:\n1989, 1994, and 1997\nNumber of Single Parent Families on Food Stamps by Welfare Receipt and Presence of Earnings:\n1989, 1994, and 1997\n5,000\nDRAFT\n4,500\n568\n4,000\n708\n3,500\n614\n297\n3,000\nHouseholds (in thousands)\n324\n780\n2,500\n334\n208\n325\n2,000\n1,500\n3,022\n1,000\n2,094\n2,097\n500\n0\n1989\n1994\n1997\nYear\nSingle parent households with no earnings and no AFDC/TANF\nSingle parent households with earnings and no AFDC/TANF\nSingle parent households with AFDC/TANF and earnings\nSingle parent households with AFDC/TANF and no earnings\n12/1/98\nChanges in the Number of Single Parent Participants on Welfare and Not on Welfare\n3,500\nDRAFT\n3,000\n2,500\nNumber (in thousands)\n2,000\n1,500\n1,000\n500\n0\n1989\n1994\n1997\nSingle parent households on welfare\nSingle parent households not on welfare\n12/1/98\nincludes is 490mp\nI \"day\"\nTWO GROUPS AFFECTED BY\nWELFARE REFORM:\nLEGAL IMMIGRANTS AND\nUNEMPLOYED CHILDLESS\nADULTS AGED 18-59\n1989, 1994, and 1997\nDecline in participation among legal immigrants and childless unemployed adults in the wake of\nwelfare reform\n1,600\nDRAFT\n1,400\n1,200\n1,000\nNumber (in thousands)\n800\n600\n400\n200\n0\nJuly-96\nAugust-96\nSeptember-96\nOctober-96\nNovember-96\nDecember-96\nJanuary-97\nFebruary-97\nMarch-97\nApril-97\nMay-97\nJune-97\nJuly-97\nAugust-97\nSeptember-97\nPermanent Resident Aliens\nUnemployed Childless Adults\n12/1/98\nDesired Dres not\nsholfund\n3 Goof 150mg road wood\nImmigrant Participants by Citizen/Alien Status:\n1989, 1994, and 1997\n2,500\nDRAFT\n2,000\n339\n1,500\nNumber\n235\n1,000\n1,453\n234\n547\n500\n582\n437\n264\n131\n0\n1989\n1994\n1997\nYear\nNaturalized citizens\nPermanent Residents\nRefugees\n12/1/98\nChanges in the Number of Childless Unemployed Adult Participants:\n1989, 1994, and 1997\nDRAFT\n1,400\n1,309\n1,200\n1,000\n833\n800\nNumber\n652\n600\n400\n200\n0\n1989\n1994\n1997\nYear\n12/1/98\nELDERLY FOOD STAMP\nPARTICIPANTS\n1989, 1994, and 1997\nNumber of Aged Food Stamp Participants: 1989, 1994, and 1997\n2,000\nDRAFT\n1,800\n1,600\n1,400\n1,200\nNumber (in thousands)\n1,000\n800\n600\n400\n200\n0\n1989\n1994\n1997\nYear\n12/1/98\nCHANGES IN THE\nRACIAL/ETHNIC\nCOMPOSITION OF THE FOOD\nSTAMP CASELOAD\n1989, 1994, and 1997\nThe Racial/Ethnic Composition of FSP Participants: 1994 and 1997\nFY 1994\nOther\n5%\nRAFT\nHispanic\n19%\nWhite\n41%\nBlack\n35%\nFY 1997\nOther\n4%\nHispanic\n19%\nWhite\n41%\nBlack\n36%\n12/1/98\nRacial Composition of AFDC/TANF Participants:\n1994 and 1997\nFY 1994\nOther\n7%\nDRAFT\nHispanic\nWhite\n21%\n34%\nBlack\n38%\nFY 1997\nOther\n6%\nHispanic\nWhite\n22%\n33%\nBlack\n39%\n12/1/98\nWelfore Reups\npereary f S,\nRacial Composition of Childless Unemployed Adults:\n1994 and 1997\nFY 1994\nDRAFT\nOther\nHispanic\n4%\n7%\nWhite\n44%\nBlack\n45%\nFY 1997\nOther\n3%\nHispanic\n14%\nWhite\n37%\nBlack\n46%\n12/1/98\nTABLES WITH UNWEIGHTED\nQUALITY CONTROL DATA\nFROM 1989, 1994, 1997, and\nPRELIMINARY 1998 FILES\nSources of Income Using Unweighted Quality Control Data:\n1989, 1994, 1997, and 1998 preliminary data\n45.00%\nDRAFT\n40.00%\n35.00%\n30.00%\n25.00%\nPercent\n20.00%\n15.00%\n10.00%\n5.00%\n0.00%\n1989\n1994\n1997\n1998\nYear\nWelfare for Families\n'Welfare for Single Adults\nSupplemental Security Income\nSocial Security\nEarnings\n12/1/98\nPercent of Caseload that are Legal Immigrants or Childless Unemployed Adults\n(Using Unweighted Data):\n1989, 1994, 1997, and 1998 Preliminary Data\nDRAFT\n4.00%\n3.50%\n3.00%\n2.50%\nPercent\n2.00%\n1.50%\n1.00%\n0.50%\n0.00%\n1989\n1994\n1997\n1998\nYear\nAliens\nABAWDs\n12/1/98\nJenny genser\n703- 305- 2152\nJenny genser @fcs. @ usda . gov"
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