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Representativeness of the low-income population in the Health and Retirement Study

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  • Meijer, Erik
  • Karoly, Lynn A.

Abstract

We study to what extent the Health and Retirement Study (HRS) is representative of all income groups, but with a particular emphasis on low-income groups. To focus on the HRS sample composition and abstract from potential measurement issues associated with measures of income, we exploit the SSA administrative data matched to the HRS sample and compare the distribution of the matched SSA variables against the distribution of the same variables for the same population in the SSA databases. Overall, the HRS is representative for the population it covers. However, for some subgroups in the low-income population, there are some differences.

Suggested Citation

  • Meijer, Erik & Karoly, Lynn A., 2017. "Representativeness of the low-income population in the Health and Retirement Study," The Journal of the Economics of Ageing, Elsevier, vol. 9(C), pages 90-99.
  • Handle: RePEc:eee:joecag:v:9:y:2017:i:c:p:90-99
    DOI: 10.1016/j.jeoa.2016.08.004
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    File URL: http://www.sciencedirect.com/science/article/pii/S2212828X16300627
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    References listed on IDEAS

    as
    1. Erik Meijer & Lynn A. Karoly & Pierre-Carl Michaud, 2010. "Using Matched Survey and Administrative Data to Estimate Eligibility for the Medicare Part D Low Income Subsidy Program," Working Papers WR-743, RAND Corporation.
    2. repec:mpr:mprres:6195 is not listed on IDEAS
    3. David Card & Andrew K.G. Hildreth & Lara D. Shore-Sheppard, 2004. "The Measurement of Medicaid Coverage in the SIPP: Evidence From a Comparison of Matched Records," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 410-420, October.
    4. Peter Adams & Michael D. Hurd & Daniel L. McFadden & Angela Merrill & Tiago Ribeiro, 2004. "Healthy, Wealthy, and Wise? Tests for Direct Causal Paths between Health and Socioeconomic Status," NBER Chapters, in: Perspectives on the Economics of Aging, pages 415-526, National Bureau of Economic Research, Inc.
    5. F. Thomas Juster & Richard Suzman, 1995. "An Overview of the Health and Retirement Study," Journal of Human Resources, University of Wisconsin Press, vol. 30, pages 7-56.
    6. John L. Czajka & Gabrielle Denmead, "undated". "Income Data for Policy Analysis: A Comparative Assessment of Eight Surveys," Mathematica Policy Research Reports 19724257b78544bdbd55f15be, Mathematica Policy Research.
    7. Haider, S. & Solon, G., 2000. "Nonrandom Selection in the HRS Social Security Earnings Sample," Papers 00-01, RAND - Labor and Population Program.
    8. Haider, S. & Solon, G., 2000. "Nonrandom Selection in the HRS Social Security Earnings Sample," Papers 00-01, RAND - Labor and Population Program.
    9. Erik Meijer & Lynn A. Karoly & Pierre-Carl Michaud, 2010. "Using Matched Survey and Administrative Data to Estimate Eligibility for the Medicare Part D Low Income Subsidy Program," Working Papers 743, RAND Corporation.
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    Cited by:

    1. Jenjira Yahirun & Dana Hamplová, 2014. "Children’s union status and contact with mothers: A cross-national study," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 30(51), pages 1413-1444.

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