IDEAS home Printed from https://ideas.repec.org/a/eee/joecag/v9y2017icp90-99.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S2212828X16300627
    Download Restriction: no
    File URL: https://libkey.io/10.1016/j.jeoa.2016.08.004?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. repec:mpr:mprres:6195 is not listed on IDEAS
    2. 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.
    3. 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.
    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. Haider, S. & Solon, G., 2000. "Nonrandom Selection in the HRS Social Security Earnings Sample," Papers 00-01, RAND - Labor and Population Program.
    6. 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.
    7. 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.
    8. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Adela Luque & Renuka Bhaskar, 2014. "2010 American Community Survey Match Study," CARRA Working Papers 2014-03, Center for Economic Studies, U.S. Census Bureau.
    2. Adeline Delavande & Susann Rohwedder, 2008. "Differential Mortality in Europe and the U.S. Estimates Based on Subjective Probabilities of Survival," Working Papers WR-613, RAND Corporation.
    3. Timothy Tyler Brown & Erin Dela Cruz & Stephen Scott Brown, 2011. "The effect of dental care on cardiovascular disease outcomes: an application of instrumental variables in the presence of heterogeneity and self‐selection," Health Economics, John Wiley & Sons, Ltd., vol. 20(10), pages 1241-1256, October.
    4. Michael D. Hurd & Susann Rohwedder, 2011. "Economic Preparation for Retirement," NBER Chapters, in: Investigations in the Economics of Aging, pages 77-113, National Bureau of Economic Research, Inc.
    5. 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.
    6. Anna Zajacova & Sarah Burgard, 2013. "Healthier, Wealthier, and Wiser: A Demonstration of Compositional Changes in Aging Cohorts Due to Selective Mortality," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 32(3), pages 311-324, June.
    7. Johnston, David W. & Propper, Carol & Shields, Michael A., 2009. "Comparing subjective and objective measures of health: Evidence from hypertension for the income/health gradient," Journal of Health Economics, Elsevier, vol. 28(3), pages 540-552, May.
    8. Steven Haider & Gary Solon, 2006. "Life-Cycle Variation in the Association between Current and Lifetime Earnings," American Economic Review, American Economic Association, vol. 96(4), pages 1308-1320, September.
    9. Salm, Martin, 2009. "Does Job Loss Cause Ill Health?," IZA Discussion Papers 4147, Institute of Labor Economics (IZA).
    10. Olivia S. Mitchell & John W.R. Phillips, 2002. "Applications, Denials, and Appeals for Social Security Disability Insurance," Working Papers wp032, University of Michigan, Michigan Retirement Research Center.
    11. Cornelius A. Rietveld & Hans van Kippersluis & A. Roy Thurik, 2015. "Self‐Employment and Health: Barriers or Benefits?," Health Economics, John Wiley & Sons, Ltd., vol. 24(10), pages 1302-1313, October.
    12. Adeline Delavande & Susann Rohwedder, 2008. "Differential Mortality in Europe and the U.S. Estimates Based on Subjective Probabilities of Survival," Working Papers 613, RAND Corporation.
    13. Martin Salm, 2009. "Does job loss cause ill health?," Health Economics, John Wiley & Sons, Ltd., vol. 18(9), pages 1075-1089, September.
    14. Hoffmann, Rasmus, 2011. "Socioeconomic inequalities in old-age mortality: A comparison of Denmark and the USA," Social Science & Medicine, Elsevier, vol. 72(12), pages 1986-1992, June.
    15. Adeline Delavande & Susann Rohwedder, 2011. "Differential Survival in Europe and the United States: Estimates Based on Subjective Probabilities of Survival," Demography, Springer;Population Association of America (PAA), vol. 48(4), pages 1377-1400, November.
    16. Rashmita Basu, 2013. "Willingness-to-pay to prevent Alzheimer’s disease: a contingent valuation approach," International Journal of Health Economics and Management, Springer, vol. 13(3), pages 233-245, December.
    17. Elder, Harold W. & Rudolph, Patricia M., 2000. "Beliefs and actions: expectations and savings decisions by older Americans," Financial Services Review, Elsevier, vol. 9(1), pages 33-45, 00.
    18. Hugo Benitez-Silva & Moshe Buchinsky & John Rust & Emine Boz & Joseph B. Nichols & Sharbani Roy & Ignez Tristao, 2005. "Health Status, Insurance, and Expenditures in the Transition from Work to Retirement," Department of Economics Working Papers 05-11, Stony Brook University, Department of Economics.
    19. Wändi Bruine de Bruin & Michael F. Bryan & Simon M. Potter & Giorgio Topa & Wilbert Van der Klaauw, 2008. "Rethinking the measurement of household inflation expectations: preliminary findings," Staff Reports 359, Federal Reserve Bank of New York.
    20. Ozdamar, Oznur & Giovanis, Eleftherios, 2016. "Being Healthy in Turkey: A Pseudo-Panel Data Analysis," MPRA Paper 95838, University Library of Munich, Germany.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:joecag:v:9:y:2017:i:c:p:90-99. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/the-journal-of-the-economics-of-ageing .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.