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Active versus Passive Sample Attrition: The Health and Retirement Study

Author

Listed:
  • Honggao Cao

    (University of Michigan)

  • Daniel H. Hill

    (University of Michigan)

Abstract

This paper investigates sample attrition in the Health and Retirement Study (HRS). We compare attrition behavior in two of the HRS cohorts: original HRS cohort and AHEAD cohort. We distinguish attrition due to death (passive attrition) from attrition due to other causes (active attrition), examining potential effects of different attrition modes on the representativeness of the remaining samples. This distinction is justified based on a specification test on a multinomial logistic regression model. Among other results from the study are differences between passive and active attritors in a set of demographic, economic, and health measures, and a finding that active attrition occurring in the HRS is perhaps not selective and, thus, is statistically ignorable.

Suggested Citation

  • Honggao Cao & Daniel H. Hill, 2005. "Active versus Passive Sample Attrition: The Health and Retirement Study," Econometrics 0505006, University Library of Munich, Germany.
  • Handle: RePEc:wpa:wuwpem:0505006
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    References listed on IDEAS

    as
    1. Lee A. Lillard & Constantijn W. A. Panis, 1998. "Panel Attrition from the Panel Study of Income Dynamics: Household Income, Marital Status, and Mortality," Journal of Human Resources, University of Wisconsin Press, vol. 33(2), pages 437-457.
    2. Hausman, Jerry & McFadden, Daniel, 1984. "Specification Tests for the Multinomial Logit Model," Econometrica, Econometric Society, vol. 52(5), pages 1219-1240, September.
    3. 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.
    4. Harhoff, Dietmar & Stahl, Konrad & Woywode, Michael, 1998. "Legal Form, Growth and Exit of West German Firms--Empirical Results for Manufacturing, Construction, Trade and Service Industries," Journal of Industrial Economics, Wiley Blackwell, vol. 46(4), pages 453-488, December.
    5. Harold Alderman & Jere Behrman & Hans-Peter Kohler & John A. Maluccio & Susan Watkins, 2001. "Attrition in Longitudinal Household Survey Data," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 5(4), pages 79-124.
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    Cited by:

    1. Juergen Jung, 2022. "Estimating transition probabilities between health states using US longitudinal survey data," Empirical Economics, Springer, vol. 63(2), pages 901-943, August.
    2. Bowen, Mary Elizabeth, 2009. "Childhood socioeconomic status and racial differences in disability: Evidence from the Health and Retirement Study (1998-2006)," Social Science & Medicine, Elsevier, vol. 69(3), pages 433-441, August.

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    More about this item

    Keywords

    active attrition; passive attrition; sample attrition; HRS;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

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