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The Poverty Reduction of Social Security and Means-Tested Transfers

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  • Bruce D. Meyer
  • Derek Wu

Abstract

Many studies examine the anti-poverty effects of social insurance and means-tested transfers, relying solely on survey data with substantial errors. We improve on past work by linking administrative data from Social Security and five large means-tested transfers (SSI, SNAP, Public Assistance, the EITC, and housing assistance) to 2008-2013 Survey of Income and Program Participation data. Using the linked data, we find that Social Security cuts the poverty rate by a third – more than twice the combined effect of the five means-tested transfers. Among means-tested transfers, the EITC and SNAP are most effective. All programs except for the EITC sharply reduce deep poverty (below 50% of the poverty line), while the impact of the EITC is more pronounced at 150% of the poverty line. For the elderly, Social Security single-handedly slashes poverty by 75%, more than 20 times the combined effect of the means-tested transfers. While single parent families benefit more from the EITC, SNAP, and housing assistance, they are still relatively underserved by the safety net, with the six programs together reducing their poverty rate by only 38%. SSI, Public Assistance, and housing assistance have the highest share of benefits going to the pre-transfer poor, while the EITC has the lowest. Finally, the survey data alone provide fairly accurate estimates for the overall population at the poverty line, although they understate the effects of Social Security, SNAP, and Public Assistance. However, there are more striking differences at other income cutoffs and for specific family types. For example, the survey data yield 1) effects of SNAP and Public Assistance on near poverty that are two-thirds and one-half what the administrative data generate and 2) poverty reduction effects of SSI, Social Security, and Public Assistance that are 34-44% of what the administrative data produce for single parent families.

Suggested Citation

  • Bruce D. Meyer & Derek Wu, 2018. "The Poverty Reduction of Social Security and Means-Tested Transfers," NBER Working Papers 24567, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:24567
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    1. Moffitt, Robert, 1992. "Incentive Effects of the U.S. Welfare System: A Review," Journal of Economic Literature, American Economic Association, vol. 30(1), pages 1-61, March.
    2. Bruce D. Meyer & Dan T. Rosenbaum, 2001. "Welfare, the Earned Income Tax Credit, and the Labor Supply of Single Mothers," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(3), pages 1063-1114.
    3. Chen, Susan & van der Klaauw, Wilbert, 2008. "The work disincentive effects of the disability insurance program in the 1990s," Journal of Econometrics, Elsevier, vol. 142(2), pages 757-784, February.
    4. Bruce D. Meyer & Nikolas Mittag, 2015. "Using Linked Survey and Administrative Data to Better Measure Income: Implications for Poverty, Program Effectiveness and Holes in the Safety Net," Upjohn Working Papers 15-242, W.E. Upjohn Institute for Employment Research.
    5. Patricia M. Anderson & Kristin F. Butcher & Diane Whitmore Schanzenbach, 2015. "Changes in Safety Net Use during the Great Recession," American Economic Review, American Economic Association, vol. 105(5), pages 161-165, May.
    6. Hoynes, Hilary Williamson & Schanzenbach, Diane Whitmore, 2012. "Work incentives and the Food Stamp Program," Journal of Public Economics, Elsevier, vol. 96(1), pages 151-162.
    7. Michael P. Keane & Kenneth I. Wolpin, 2010. "The Role Of Labor And Marriage Markets, Preference Heterogeneity, And The Welfare System In The Life Cycle Decisions Of Black, Hispanic, And White Women," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 51(3), pages 851-892, August.
    8. Bound, John & Krueger, Alan B, 1991. "The Extent of Measurement Error in Longitudinal Earnings Data: Do Two Wrongs Make a Right?," Journal of Labor Economics, University of Chicago Press, vol. 9(1), pages 1-24, January.
    9. Robert J. Gordon, 2006. "The Boskin Commission Report: A Retrospective One Decade Later," International Productivity Monitor, Centre for the Study of Living Standards, vol. 12, pages 7-22, Spring.
    10. Robert A. Moffitt, 2016. "Economics of Means-Tested Transfer Programs in the United States, Volume 1," NBER Books, National Bureau of Economic Research, Inc, number moff14-1, March.
    11. Neeraj Kaushal, 2010. "Elderly immigrants' labor supply response to supplemental security income," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 29(1), pages 137-162.
    12. repec:cbo:report:513612 is not listed on IDEAS
    13. repec:cbo:report:513613 is not listed on IDEAS
    14. Nicole Maestas & Kathleen J. Mullen & Alexander Strand, 2013. "Does Disability Insurance Receipt Discourage Work? Using Examiner Assignment to Estimate Causal Effects of SSDI Receipt," American Economic Review, American Economic Association, vol. 103(5), pages 1797-1829, August.
    15. Meyer, Bruce D. & Mittag, Nikolas, 2017. "Using Linked Survey and Administrative Data to Better Measure Income: Implications for Poverty, Program Effectiveness and Holes in the Safety Net," IZA Discussion Papers 10943, Institute of Labor Economics (IZA).
    16. Jerry Hausman, 2003. "Sources of Bias and Solutions to Bias in the Consumer Price Index," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 23-44, Winter.
    17. Sanders Korenman & Dahlia K. Remler, 2016. "Including Health Insurance in Poverty Measurement: The Impact of Massachusetts Health Reform on Poverty," NBER Working Papers 21990, National Bureau of Economic Research, Inc.
    18. Peter Ganong & Jeffrey B. Liebman, 2018. "The Decline, Rebound, and Further Rise in SNAP Enrollment: Disentangling Business Cycle Fluctuations and Policy Changes," American Economic Journal: Economic Policy, American Economic Association, vol. 10(4), pages 153-176, November.
    19. Robert A. Moffitt, 2003. "Means-Tested Transfer Programs in the United States," NBER Books, National Bureau of Economic Research, Inc, number moff03-1, March.
    20. Congressional Budget Office, 2016. "The Distribution of Household Income and Federal Taxes, 2013," Reports 51361, Congressional Budget Office.
    21. Marianne Bitler & Hilary Hoynes & Elira Kuka, 2017. "Do In-Work Tax Credits Serve as a Safety Net?," Journal of Human Resources, University of Wisconsin Press, vol. 52(2), pages 319-350.
    22. Danziger, Sheldon & Haveman, Robert & Plotnick, Robert, 1981. "How Income Transfer Programs Affect Work, Savings, and the Income Distribution: A Critical Review," Journal of Economic Literature, American Economic Association, vol. 19(3), pages 975-1028, September.
    23. Korenman, Sanders D. & Remler, Dahlia K., 2016. "Including health insurance in poverty measurement: The impact of Massachusetts health reform on poverty," Journal of Health Economics, Elsevier, vol. 50(C), pages 27-35.
    24. Bruce D. Meyer, 2010. "The Effects of the Earned Income Tax Credit and Recent Reforms," NBER Chapters, in: Tax Policy and the Economy, Volume 24, pages 153-180, National Bureau of Economic Research, Inc.
    25. Congressional Budget Office, 2013. "The Distribution of Federal Spending and Taxes in 2006," Reports 44698, Congressional Budget Office.
    26. Wooldridge, Jeffrey M., 2007. "Inverse probability weighted estimation for general missing data problems," Journal of Econometrics, Elsevier, vol. 141(2), pages 1281-1301, December.
    27. Yonatan Ben-Shalom & Robert A. Moffitt & John Karl Scholz, "undated". "An Assessment of the Effectiveness of Anti-Poverty Programs in the United States," Mathematica Policy Research Reports cfc848ed6ab647bcb38ab47bb, Mathematica Policy Research.
    28. Neumark, David & Powers, Elizabeth, 2000. "Welfare for the elderly: the effects of SSI on pre-retirement labor supply," Journal of Public Economics, Elsevier, vol. 78(1-2), pages 51-80, October.
    29. Robert Collinson & Ingrid Gould Ellen & Jens Ludwig, 2015. "Low-Income Housing Policy," NBER Chapters, in: Economics of Means-Tested Transfer Programs in the United States, Volume 2, pages 59-126, National Bureau of Economic Research, Inc.
    30. Brian A. Jacob & Jens Ludwig, 2012. "The Effects of Housing Assistance on Labor Supply: Evidence from a Voucher Lottery," American Economic Review, American Economic Association, vol. 102(1), pages 272-304, February.
    31. Ernst R. Berndt, 2006. "The Boskin Commission Report After a Decade: After-life or Requiem?," International Productivity Monitor, Centre for the Study of Living Standards, vol. 12, pages 61-73, Spring.
    32. Mark Duggan & Melissa S. Kearney & Stephanie Rennane, 2015. "The Supplemental Security Income Program," NBER Chapters, in: Economics of Means-Tested Transfer Programs in the United States, Volume 2, pages 1-58, National Bureau of Economic Research, Inc.
    33. Moffitt, Robert A. (ed.), 2016. "Economics of Means-Tested Transfer Programs in the United States, Volume I," National Bureau of Economic Research Books, University of Chicago Press, number 9780226370477.
    34. Nada Eissa & Hilary W. Hoynes, 2006. "Behavioral Responses to Taxes: Lessons from the EITC and Labor Supply," NBER Chapters, in: Tax Policy and the Economy, Volume 20, pages 73-110, National Bureau of Economic Research, Inc.
    35. Congressional Budget Office, 2013. "The Distribution of Federal Spending and Taxes in 2006," Reports 44698, Congressional Budget Office.
    36. Jeffrey Grogger, 2003. "The Effects of Time Limits, the EITC, and Other Policy Changes on Welfare Use, Work, and Income among Female-Headed Families," The Review of Economics and Statistics, MIT Press, vol. 85(2), pages 394-408, May.
    37. Liana Fox & Christopher Wimer & Irwin Garfinkel & Neeraj Kaushal & Jane Waldfogel, 2015. "Waging War on Poverty: Poverty Trends Using a Historical Supplemental Poverty Measure," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 34(3), pages 567-592, June.
    38. Bound, John & Brown, Charles & Mathiowetz, Nancy, 2001. "Measurement error in survey data," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 59, pages 3705-3843, Elsevier.
    39. Meyer, Bruce D. & Sullivan, James X., 2004. "The effects of welfare and tax reform: the material well-being of single mothers in the 1980s and 1990s," Journal of Public Economics, Elsevier, vol. 88(7-8), pages 1387-1420, July.
    40. John Iceland & Kathleen Short & Thesia I. Garner & David Johnson, 2001. "Are Children Worse off?: Evaluating Well-Being Using a New (And Improved) Measure of Poverty," Journal of Human Resources, University of Wisconsin Press, vol. 36(2), pages 398-412.
    41. Robert Doar, 2017. "A Safety Net That Works: Improving Federal Programs for Low-Income Americans," Books, American Enterprise Institute, number 916279, September.
    42. repec:cbo:report:513611 is not listed on IDEAS
    43. Bollinger, Christopher R, 1998. "Measurement Error in the Current Population Survey: A Nonparametric Look," Journal of Labor Economics, University of Chicago Press, vol. 16(3), pages 576-594, July.
    44. Congressional Budget Office, 2013. "The Distribution of Federal Spending and Taxes in 2006," Reports 44698, Congressional Budget Office.
    45. Rebecca M. Blank, 2002. "Evaluating Welfare Reform in the United States," Journal of Economic Literature, American Economic Association, vol. 40(4), pages 1105-1166, December.
    46. Edgar O. Olsen, 2003. "Housing Programs for Low-Income Households," NBER Chapters, in: Means-Tested Transfer Programs in the United States, pages 365-442, National Bureau of Economic Research, Inc.
    47. Bruce Meyer & Nikolas Mittag, 2017. "Using Linked Survey and Administrative Data to Better Measure Income: Implications for Poverty, Program Effectiveness and Holes in the Safety Net," Working Papers 2017-075, Human Capital and Economic Opportunity Working Group.
    48. Moffitt, Robert A. (ed.), 2016. "Economics of Means-Tested Transfer Programs in the United States, Volume II," National Bureau of Economic Research Books, University of Chicago Press, number 9780226392493.
    49. Brian A. Jacob & Max Kapustin & Jens Ludwig, 2015. "The Impact of Housing Assistance on Child Outcomes: Evidence from a Randomized Housing Lottery," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(1), pages 465-506.
    50. Molly Dahl & Thomas DeLeire & Jonathan A. Schwabish, 2011. "Estimates of Year-to-Year Volatility in Earnings and in Household Incomes from Administrative, Survey, and Matched Data," Journal of Human Resources, University of Wisconsin Press, vol. 46(4), pages 750-774.
    51. Hilary W. Hoynes & Ankur J. Patel, 2015. "Effective Policy for Reducing Inequality? The Earned Income Tax Credit and the Distribution of Income," NBER Working Papers 21340, National Bureau of Economic Research, Inc.
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    More about this item

    JEL classification:

    • C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs

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