2002 Indicators of Welfare Dependence

Chapter I:
Introduction and Overview

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The Welfare Indicators Act of 1994 (Pub. L. 103-432) directed the Secretary of Health and Human Services (HHS) to publish an annual report on welfare dependency. This 2002 report, the fifth annual indicators report, gives updated data on the measures of welfare recipiency, dependency, and predictors of welfare dependence developed for previous reports. It reflects changes that have taken place since enactment of the Personal Responsibility and Work Opportunity Reconciliation Act (PRWORA) in August 1996.

The purpose of this report is to address questions concerning the extent to which American families depend on income from welfare programs. Under the Welfare Indicators Act, HHS was directed to address the rate of welfare dependency, the degree and duration of welfare recipiency and dependence, and predictors of welfare dependence. The Act further specified that analyses of means-tested assistance should include benefits under the Aid to Families with Dependent Children (AFDC) program, now the Temporary Assistance for Needy Families (TANF) program; the Food Stamp Program; and the Supplemental Security Income (SSI) program.

The first annual report was produced under the oversight of a bipartisan Advisory Board on Welfare Indicators, which assisted the Secretary in defining welfare dependence, developing indicators of welfare dependence, and choosing appropriate data. Under the terms of the original authorizing legislation, the Advisory Board was terminated in October 1997, prior to the submission of the first annual report. Subsequent annual reports have provided updates for the measures developed for the first report. In recent years, the report has been shortened, in keeping with Congressional interest in a smaller set of indicators and predictors of dependency.

This 2002 report provides updated measures through 1999 for several dependency measures. It has become possible to update these measures annually because of a change made last year in the data source for several indicators, from the Survey of Income and Program Participation (SIPP) to the Current Population Survey (CPS). Whereas the SIPP data have only been analyzed through 1995, the CPS data are available for more recent years, allowing examination of indicators and predictors of dependency since the enactment of welfare reform in 1996. Those measures that can be updated annually are presented at the front of each chapter, followed by the figures that are derived from data sources that are updated less frequently.

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Organization of Report

This introductory chapter provides an overview of the specific summary measures of welfare dependence proposed by the Advisory Board. It also discusses summary measures of poverty, following the Board’s recommendation that dependence measures not be assessed in isolation from measures of deprivation. Analysis of both measures is important because changes in dependence measures could result either from increases in work activity and other factors that would raise family incomes, or from sanctions or other changes in welfare programs that would reduce welfare program participation but might not improve the material circumstances of these families. The introduction concludes with a discussion of data sources used for the report.

Chapter II of the report, Indicators of Dependence, presents eleven indicators of welfare dependence and recipiency. These indicators include dependence measures based on total income from all three programs — AFDC/TANF, SSI, and food stamps — as well as measures of recipiency for each of the three programs considered separately. The labor force participation among families receiving welfare and multiple receipt across programs are also shown. The second half of the chapter also includes longitudinal data on transitions on and off welfare programs and spells of dependence and recipiency.

Chapter III, Predictors and Risk Factors Associated with Welfare Receipt, focuses on predictors of welfare dependence — risk factors believed to be associated with welfare receipt in some way. These predictors are shown in three different groups:

  1. Economic security — including various measures of poverty, receipt of child support, food insecurity, and health insurance coverage — is important in predicting dependence in the sense that families with fewer economic resources are more likely to rely on welfare programs for their support.
  2. Measures of the work status and barriers to employment of adult family members also are critical, because families must generally receive an adequate income from employment in order to avoid dependence without severe deprivation.
  3. Finally, data on non-marital births are important since a high proportion of long-term welfare recipients first became parents outside of marriage, frequently as teenagers.

Additional data are presented in three appendices. Appendix A provides basic program data on each of the main welfare programs and their recipients; Appendix B shows how dependence is affected by the inclusion of benefits from the SSI program; and Appendix C includes additional data on non-marital childbearing. The main welfare programs included in Appendix A are:

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Measuring Welfare Dependence

As suggested by its title, this report focuses on welfare “dependence” as well as welfare “recipiency.” While recipiency can be defined fairly easily, based on the presence of benefits from AFDC/TANF, SSI or food stamps, dependence is a more complex concept.

Welfare dependence, like poverty, is a continuum, with variations in degree and in duration. Families may be more or less dependent if larger or smaller shares of their total resources are derived from welfare programs. The amount of time over which a family depends on welfare might also be considered in assessing its degree of dependence. Nevertheless, a summary measure of dependence to be used as an indicator for policy purposes must have some fixed parameters that allow one to determine which families should be counted as dependent, just as the poverty line defines who is poor under the official standard. The definition of dependence proposed by the Advisory Board for this purpose is as follows:

A family is dependent on welfare if more than 50 percent of its total income in a one-year period comes from AFDC, food stamps and/or SSI, and this welfare income is not associated with work activities. Welfare dependence is the proportion of all families who are dependent on welfare.

This measure is not without its limitations. The Advisory Board recognized that no single measure could fully capture all aspects of dependence and that the proposed measure should be examined in concert with other key indicators of dependence and deprivation. In addition, while the proposed definition would count unsubsidized and subsidized employment and work required to obtain benefits as work activities, existing data sources do not permit distinguishing between welfare income associated with work activities and non-work-related welfare benefits. As a result, the data shown in this report overstate the incidence of dependence (as defined above) because welfare income associated with work required to obtain benefits is classified as welfare and not as income from work. This issue may be growing in importance under the increased work requirements of the TANF program. In 2000, the percentage of welfare recipients who were working (including employment, work experience, and community service) reached an all-time high of 33 percent, compared to the 7 percent recorded in 1992.(1)

This proposed definition also represents an essentially arbitrary choice of a percentage (50 percent) of income from welfare beyond which families will be considered dependent. However, it is relatively easy to measure and to track over time, and is likely to be associated with any very large changes in total dependence, however defined. For example, dependence under this definition has declined as policy changes under welfare reform have moved more recipients into employment or work-related activities.

As shown in Figure SUM 1, 3.3 percent of the population would be considered “dependent” on welfare in 1999 under the above definition. This is about one-quarter of the percentage (13.3 percent) that lived in a family receiving at least some TANF, food stamp or SSI benefits during the year.

Figure SUM 1.
Recipiency and Dependency Rates: 1996-1999

Figure SUM 1. Recipiency and Dependency Rates: 1993-1999.

Note:  Recipiency is defined as living in a family with receipt of any amount of AFDC/TANF, SSI, or food stamps during year. Dependency is defined as having more than 50 percent of annual income from AFDC/TANF, SSI and/or food stamps. Dependency rates would be lower if adjusted to exclude welfare assistance associated with working.

Source:  March CPS data, analyzed using the TRIM3 microsimulation model.

Both dependency and recipiency rates fell between 1996 and 1999: dependence rates fell from 5.2 to 3.3 percent, while recipiency rates fell from 16.0 to 13.3 percent. The drop in recipiency rates is consistent with administrative data showing declining TANF and food stamp caseloads from 1996 to 1999. What is not apparent from administrative records, but is shown in these national survey data, is that the dependency rate also declined sharply between 1996 and 1999.

Recipiency and dependency rates are higher for non-Hispanic blacks and Hispanics than for non-Hispanic whites, as shown in Table SUM 1, which shows these rates for various racial/ethnic and age categories. Recipiency and dependence also are higher for young children than for adults. However, both recipiency and dependency rates decreased across all racial/ethnic and age categories between 1996 and 1999.

Dependency on assistance also varies depending upon which programs are counted as “welfare programs.” Dependency would be much lower — 1.7 percent — if only AFDC/TANF and food stamp benefits were counted (as shown in Appendix B and as is done in some measures in this report). Whereas the inclusion or exclusion of individuals receiving only SSI benefits had a relatively small effect on dependence indicators several years ago, in 1999 over one-third of dependent individuals are dependent on SSI income only.

Another factor affecting dependence is the time period observed. The summary measures shown in Figure and Table SUM 1 focus on recipiency and dependency rates over a one-year time period. Long-term recipiency and dependency are more rare, as shown in the longitudinal measures in the second half of Chapter II. Indicator 9, for example, shows that among individuals receiving AFDC at some point over the ten years ending in 1996, 14 percent were dependent on AFDC and/or food stamps for six or more years (SSI income is excluded from this particular measure of dependency). This represents about 1.7 percent of the total population. Another 30 percent of recipients were dependent for one to five of the ten years, and 47 percent were not dependent in any year.

Table SUM 1.
Recipiency and Dependency Rates: 1996-1999
  1996 1997 1998 1999
Recipiency Rates (Rates of Any Amount of AFDC/TANF, Food Stamps, or SSI)
All Persons 16.0 14.8 13.5 13.3
 
Racial/Ethnic Categories
Non-Hispanic White 9.9 9.7 8.6 8.4
Non-Hispanic Black 35.6 30.2 29.6 29.8
Hispanic 32.0 28.0 24.5 23.4
 
Age Categories
Children Ages 0-5 28.2 25.1 22.4 21.5
Children Ages 6-10 24.2 21.2 20.0 19.8
Children Ages 11-15 21.1 19.4 17.0 17.3
 
Women Ages 16-64 16.0 14.7 13.6 13.6
Men Ages 16-64 11.7 11.1 10.0 9.6
Adults Age 65 and over 10.3 10.2 9.9 10.0
         
Dependency Rates (More than 50 Percent of Income from Means-Tested Assistance)
All Persons 5.2 4.5 3.8 3.3
 
Racial/Ethnic Categories
Non-Hispanic White 2.6 2.5 2.1 1.8
Non-Hispanic Black 13.8 11.4 10.5 9.1
Hispanic 10.9 9.1 6.6 5.4
 
Age Categories
Children Ages 0-5 11.2 9.3 7.8 6.2
Children Ages 6-10 9.5 8.4 6.7 6.1
Children Ages 11-15 8.1 7.4 5.7 4.5
 
Women Ages 16-64 5.2 4.6 3.9 3.5
Men Ages 16-64 2.7 2.5 2.1 1.9
Adults Age 65 and over 2.4 2.1 2.1 2.0
Note:  Recipiency is defined as living in a family with receipt of any amount of AFDC/TANF, SSI, or food stamps during the year. Dependency is defined as having more than 50 percent of annual family income from AFDC/TANF, SSI and/or food stamps. Dependency rates would be lower if adjusted to exclude welfare assistance associated with working.
Source:  March CPS data, analyzed using the TRIM3 microsimulation model.

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Measuring Deprivation

Changes in dependence may or may not be associated with changes in the level of deprivation, depending on the alternative sources of support found by families who might otherwise be dependent on welfare. To assess the social impacts of any change in dependence, changes in the level of poverty or deprivation also should be considered. This chapter focuses on the poverty rate, the most common measure of deprivation; additional measures of poverty and need are also included under the Economic Risk Factors found in Chapter III.

As shown in Figure SUM 2, poverty rates for all individuals have declined between 1996 and 2000, under both the official poverty rate and other measures that adjust income to take into account cash benefits, non-cash benefits and taxes. The three measures in the graph are based on analyzing three different concepts of income against the poverty threshold:

The bold line shows the official poverty rate, based on total cash income, including earned and unearned income. The official poverty rate was 11.3 percent in 2000.

The dotted line with unfilled circles shows what poverty would be if means-tested cash assistance (primarily AFDC/TANF and SSI) were excluded from cash income. This measure includes earnings and other private cash income, plus social security, workers’ compensation, and other social insurance programs, as income. Poverty under this measure would be higher than the official measure, or 12.0 percent in 2000.

The lowest line shows that poverty would be lower if the cash value of selected non-cash benefits (food and housing) and taxes, including refunds under the Earned Income Tax Credit (EITC), were counted as income.(2) Under this definition, poverty rates in 2000 would be nearly two percentage points lower than the official measure, or 9.5 percent.

Figure SUM 2.
Percentage of Total Population in Poverty with Various Means-Tested Benefits Added to Total Cash Income: 1979-2000

Figure SUM 2Percentage of Total Population in Poverty with Various Means-Tested Benefits Added to Total Cash Income: 1979-2000

Source: Congressional Budget Office tabulations of March CPS data. Additional calculations by DHHS. See ECON 4 in Chapter III for underlying table and further notes.

Using any of the three alternative measures, poverty rates decreased between 1996 and 2000. Furthermore, a comparison of Figures SUM 1 and SUM 2 suggests that economic deprivation decreased at the same time as the large decline in caseloads and welfare dependence. Between 1996 and 2000, the “after non-cash benefits and taxes” measure of poverty fell by two percentage points, from 11.5 to 9.5 percent. Over the same time period, the dependence measure also declined, from 5.2 percent to 3.3 percent. The combined effect of welfare reform and the strong economy has been to reduce dependence on welfare at the same time as reducing poverty.

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Data Sources

The primary data sources for this report are the Current Population Survey (CPS), the Survey of Income and Program Participation (SIPP), the Panel Study on Income Dynamics (PSID), and administrative data for the AFDC/TANF, Food Stamp, and SSI programs. Beginning with the 2001 report on dependence, there was a shift to using CPS rather than SIPP data for several indicators and predictors of welfare recipiency and dependence. This change was necessary because the Census Bureau has been unable to update the SIPP data analyses beyond the 1995 data presented in prior reports.

If it were not for the lags in data availability, the SIPP would be considered the most useful national survey for measuring welfare dependency. It was used most extensively in the first three annual dependence reports. Its strengths are its longitudinal design, system of monthly accounting, and detail concerning employment, income and participation in federal income-support and related programs. These features make the SIPP particularly effective for capturing the complexities of program dynamics and it continues to be an important source of data in this report, particularly for measures related to AFDC spell duration and transitions in and out of AFDC recipiency, dependency and poverty. More recent SIPP data will be available for next year’s report, allowing examination of program dynamics under the TANF program.

For measures of receipt, dependency, and poverty at a single point in time, however, the report primarily uses the Annual March Demographic Supplement to the CPS, which measures income and poverty over an annual accounting period. The CPS data are available on a more timely basis than the SIPP, and have been widely used to measure trends since the welfare reform legislation of 1996. However, because the CPS does not collect income in the same detail as the SIPP, it has been subject to criticism for underreporting of income, particularly welfare income. To address this concern, some of the indicators in this report are based on CPS data that have been analyzed by the Transfer Income Model (TRIM3), a microsimulation model developed by the Urban Institute under contract to the Office of the Assistant Secretary for Planning and Evaluation. Although its primary purpose is to simulate program eligibility and the impact of policy proposals, the TRIM model has also been used to correct for underreporting of welfare receipt and benefits. Welfare caseloads in TRIM3 are based on CPS data, adjusted upward to ensure that total estimates of recipients equal the total counts from administrative data. Even with these adjustments, some measurement differences between the CPS/TRIM data and SIPP data remain.

As shown in Figure SUM 3, the overall measures of dependency and recipiency have not been greatly affected by the change in data sources. Both data sources show a decline in dependence between 1993 and 1995, from 5.9 to 5.1 percent under the SIPP data, and from 5.9 to 5.3 percent under the TRIM-adjusted CPS data. Still, readers are cautioned against comparing measures for 1987-1995 from the SIPP data in the first three annual reports with the measures for 1996-1999 from the TRIM-adjusted CPS data. In Chapter II, indicators using the CPS data have been analyzed for every year since 1993 (the first year for which TRIM-adjusted CPS data are available), providing a new time series of how the indicators are changing over time from a consistent data source.

Figure SUM 3.
Recipiency and Dependency Rates from Two Data Sources: 1987-1999

Figure SUM 3. Recipiency and Dependency Rates from Two Data Sources: 1987-1999

Note:  Recipiency is defined as receipt of any amount of AFDC/TANF, SSI, or food stamps during year. Dependency is defined as having more than 50 percent of annual family income from AFDC/TANF, SSI and/or food stamps. Dependency rates would be lower if adjusted to exclude welfare assistance associated with working.

Source:  March CPS data, analyzed using the TRIM3 microsimulation model.

The Panel Study of Income Dynamics (PSID) is another source of data used in this report. Like the SIPP it provides longitudinal data, but over a much longer time period than the approximate three-year time period of the SIPP. The PSID has collected annual income data, including transfer income, since 1968, providing vital data for indicators of long-term welfare receipt, dependence, and deprivation. As with the SIPP data, there have been lags in obtaining updated PSID data. This 2002 report provides the first updated analysis of PSID data since the initial Indicators of Welfare Dependence report issued several years ago. The PSID data are now reported for the ten-year time period ending in 1996, as well as for two earlier ten-year time periods.

Finally, the report also draws upon administrative data for the AFDC/TANF, Food Stamp and SSI programs. These data are largely reported in Appendix A. Like the CPS data, administrative data are generally available with little time lags; these data are generally available through fiscal year 2000 (or, for some aggregate caseload statistics, fiscal year 2001). To the extent possible, TANF administrative data are reported in a consistent manner with data from the earlier AFDC program, as noted in the footnotes to the tables in Appendix A. The fact remains that assistance under locally designed TANF programs encompasses a diverse set of cash and non-cash benefits designed to support families in making a transition to work, and so direct comparisons between AFDC receipt and TANF receipt must be made with caution. This issue also affects reported data on TANF receipt in national data sets such as the CPS and SIPP.

Most of the data sources allow analysis of the indicators and predictors of welfare dependence across several age and racial/ethnic categories. Where the data are available, statistics are shown for three racial/ethnic groups — non-Hispanic whites, non-Hispanic blacks, and Hispanics.(3) In some instances, however, there are not sufficient data on individuals of Hispanic origin, and so the measures are shown for only two racial/ethnic categories.

Three other technical notes, and technical changes to two work-related predictors of dependence, concern the unit of analysis and the difference between annual and monthly measures. The individual, rather than the family or household, is the unit of analysis for most of the statistics in this report. The individual’s dependency status, however, is generally based on total family income, taking into account means-tested assistance, earnings and other sources of income for all individuals in the family.(4) This chapter, for example, has reported the percentage of individuals that are dependent (in SUM 1) or poor (in SUM 2) according to annual total family income. Recipiency status is also based on total annual family income in some instances; in SUM 1, for example, recipients are individuals in families receiving assistance at some point in the year. In most other indicators, recipiency is measured as the direct receipt of a benefit by an individual in a month. The difference between an individual and a family measure of recipiency is largest in the SSI program, which provides benefits to individuals and couples, not to families.

There also are differences between monthly and annual observation of benefit receipt. For example, the measures of annual recipiency (that is, any receipt over the course of a year) shown in Figure and Table SUM 1 are higher than the more traditional measures of recipiency in an average month, as shown in several other indicators.

Finally, data sources for two work-related risk factors have been modified this year to allow for their annual update in future reports. The data source for WORK 6, dealing with alcohol and substance abuse among adults, is still the National Household Survey on Drug Abuse (NHSDA). However, as a result of a change in methodology in the NHSDA, the data from 1999 and 2000 are not comparable to earlier data. Thus, while the 2002 report includes only the 1999 and 2000 data, this risk factor can be updated in the future. In addition, past versions of work-related risk factor WORK 7, which deals with disability in adults and children, have used unpublished data from a 1994 disability supplement to the National Health Interview Survey (NHIS). As this was a one-time supplement, this risk factor has not been updated since the first indicators report in 1997. The 2002 report uses data from the annual NHIS, specifically the 2000 survey, to provide similar data that will be updated in future reports; however, these data should not be compared with disability risk factors from previous reports.

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Endnotes

1.  The earnings of those in unsubsidized employment would be correctly captured as income from work in national surveys. Any welfare benefits associated with work experience, community service programs or other work activities, however, would be counted as income from welfare in most national surveys, a classification incompatible with the proposed definition.

2.  The effects of selected non-cash benefits (food and housing) and taxes are shown separately in Figure ECON 4 in Chapter III. Prior to 1993, taxes increased poverty. Since 1993, taxes, including the refunds through the Earned Income Tax Credit, have caused reductions in poverty.

3.  Due to small sample size, American Indians/Alaska natives and Asian/Pacific Islanders are included in the totals but are not shown separately.

4.  Family is generally defined as following the broad Census Bureau definition of family — all persons residing together that are related by birth, marriage, or adoption.


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