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Effects of Attrition and Non-Response in the Health and Retirement Study

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Author Info
Arie Kapteyn () (RAND and IZA Bonn)
Pierre-Carl Michaud () (RAND and IZA Bonn)
James Smith () (RAND and IZA Bonn)
Arthur van Soest () (RAND, Tilburg University and IZA Bonn)

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Abstract

We study the effect of attrition and other forms of non-response on the representativity over time of the Health and Retirement Study (HRS) sample born 1931-1941; the sample was initially drawn in 1992. Although some baseline characteristics of respondents do appear correlated with non-response over time, the 2002 sample of respondents does not appear to suffer significantly from selection on observables, except for race and ethnicity; for these two observables, longitudinal weights based on the Current Population Survey (CPS) can be used and are provided with the data set. We attribute this lack of selection to the fact that attritors who differ most eventually come back to the survey in waves prior to 2002. Although this allows cross-sections to remain fairly representative in later waves, it suggests that longitudinal analysis should use the unbalanced sample rather than the balanced sample of those interviewed in all waves. Individuals who attrit but who are recruited back into the survey are very different from those who are permanent attritors to the HRS. Finally, we investigate the selective nature of the decision of respondents to grant HRS permission to access their Social Security records and of the non-response introduced by employers of pension policyholders not providing HRS with worker’s Summary Plan Descriptions. We find that subsamples for which such information is available are selective on a number of dimensions, such as education and other socioeconomic status (SES) outcomes.

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Publisher Info
Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 2246.

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Length: 43 pages
Date of creation: Aug 2006
Date of revision:
Handle: RePEc:iza:izadps:dp2246

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Related research
Keywords: attrition; non-response; administrative records; economics of aging;

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Find related papers by JEL classification:
C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
I10 - Health, Education, and Welfare - - Health - - - General
J26 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Retirement; Retirement Policies

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Hausman, Jerry A & Wise, David A, 1979. "Attrition Bias in Experimental and Panel Data: The Gary Income Maintenance Experiment," Econometrica, Econometric Society, vol. 47(2), pages 455-73, March. [Downloadable!] (restricted)
  2. Horowitz, Joel L. & Manski, Charles F., 1998. "Censoring of outcomes and regressors due to survey nonresponse: Identification and estimation using weights and imputations," Journal of Econometrics, Elsevier, vol. 84(1), pages 37-58, May. [Downloadable!] (restricted)
    Other versions:
  3. Haider, S. & Solon, G., 2000. "Nonrandom Selection in the HRS Social Security Earnings Sample," Papers 00-01, RAND - Labor and Population Program.
    Other versions:
  4. O. Attanasio & H. W. Hoynes, . "Differential mortality and wealth accumulation," Institute for Research on Poverty Discussion Papers 1079-96, University of Wisconsin Institute for Research on Poverty. [Downloadable!]
    Other versions:
  5. Keisuke Hirano & Guido W. Imbens & Geert Ridder & Donald B. Rubin, 2001. "Combining Panel Data Sets with Attrition and Refreshment Samples," Econometrica, Econometric Society, vol. 69(6), pages 1645-1659, November. [Downloadable!] (restricted)
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  6. Juster, F. Thomas & Smith, James P. & Stafford, Frank, 1999. "The measurement and structure of household wealth," Labour Economics, Elsevier, vol. 6(2), pages 253-275, June. [Downloadable!] (restricted)
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  7. J. Fitzgerald & P. Gottschalk & R. Moffitt, . "An Analysis of Sample Attrition in Panel Data: The Michigan Panel Study of Income Dynamics," Institute for Research on Poverty Discussion Papers 1156-98, University of Wisconsin Institute for Research on Poverty. [Downloadable!]
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  8. repec:att:wimass:199525 is not listed on IDEAS
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Xiaoyan Li & Nicole Maestas, 2008. "Does the Rise in the Full Retirement Age Encourage Disability Benefits Applications? Evidence from the Health and Retirement Study," Working Papers wp198, University of Michigan, Michigan Retirement Research Center. [Downloadable!]
  2. Michaud, Pierre-Carl & Goldman, Dana P. & Lakdawalla, Darius N. & Zheng, Yuhui & Gailey, Adam H., 2009. "Understanding the Economic Consequences of Shifting Trends in Population Health," IZA Discussion Papers 4366, Institute for the Study of Labor (IZA). [Downloadable!]
    Other versions:
  3. Tobias Stucki, 2009. "How Long Do External Capital Constraints Matter?," KOF Working papers 09-241, KOF Swiss Economic Institute, ETH Zurich. [Downloadable!]
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