(Page 3 of 37) - Welfare Reform: Former TANF Recipients with Impairments Less Likely to Be Employed and More Likely to Receive Federal Supports authored by McCallum, Heather.

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Welfare Reform: Former TANF Recipients with Impairments Less Likely to Be Employed and More Likely to Receive Federal Supports

Unformatted Document Text: Page i GAO-03-210 Welfare Reform Letter 1 Results in Brief 2 Background 3 Impairments Were Relatively Common Among TANF Recipients 8 Recipients with Impairments Were Less Likely to Exit TANF Than Recipients without Impairments 10 After Leaving TANF, People with Impairments Were Less Likely to Be Employed and Were More Likely to Receive Federal SupportsThan Were People without Impairments 14 Concluding Observations 19 Agency Comments 20 Appendix I Scope and Methodology 22 Data Source: Census Bureau’s SIPP Data 22 Logistic Regression Analyses 23 Appendix II Comments from the Department of Health andHuman Services 28 Appendix III GAO Contacts and Staff Acknowledgments 30 GAO Contacts 30 Staff Acknowledgments 30 Bibliography 31 Related GAO Products 32 Tables Table 1: Results of Logistic Regression Model of TANF Exits 25 Table 2: Results of Logistic Regression Model of Post-TANF Employment 26 Contents

Authors: McCallum, Heather.

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Page i

GAO-03-210 Welfare Reform

Letter

Results in Brief

Background

Impairments Were Relatively Common Among TANF Recipients

Recipients with Impairments Were Less Likely to Exit TANF Than

Recipients without Impairments

After Leaving TANF, People with Impairments Were Less Likely to

Be Employed and Were More Likely to Receive Federal Supports
Than Were People without Impairments

Concluding Observations

Agency Comments

Appendix I

Scope and Methodology

Data Source: Census Bureau’s SIPP Data

Logistic Regression Analyses

Appendix II

Comments from the Department of Health and
Human Services

Appendix III

GAO Contacts and Staff Acknowledgments

GAO Contacts

Staff Acknowledgments

Bibliography

Related GAO Products

Tables

Table 1: Results of Logistic Regression Model of TANF Exits

Table 2: Results of Logistic Regression Model of Post-TANF

Employment

Contents

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