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Subjective Health Assessments and Active Labor Market Participation of Older Men: Evidence from a Semiparametric Binary Choice Model with Nonadditive Correlated Individual-Specific Effects

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  • Maurer, Jürgen

    (University of Lausanne)

  • Klein, Roger

    (Rutgers University)

  • Vella, Francis

    (Georgetown University)

Abstract

We use panel data from the US Health and Retirement Study 1992-2002 to estimate the effect of self-assessed health limitations on active labor market participation of men around retirement age. Self-assessments of health and functioning typically introduce an endogeneity bias when studying the effects of health on labor market participation. This results from justification bias, reflecting an individual’s tendency to provide answers which "justify" his labor market activity, and individual-specific heterogeneity in providing subjective evaluations. We address both concerns. We propose a semiparametric binary choice procedure which incorporates potentially nonadditive correlated individual-specific effects. Our estimation strategy identifies and estimates the average partial effects of health and functioning on labor market participation. The results indicate that poor health and functioning play a major role in the labor market exit decisions of older men.

Suggested Citation

  • Maurer, Jürgen & Klein, Roger & Vella, Francis, 2007. "Subjective Health Assessments and Active Labor Market Participation of Older Men: Evidence from a Semiparametric Binary Choice Model with Nonadditive Correlated Individual-Specific Effects," IZA Discussion Papers 3257, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp3257
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    Cited by:

    1. Martin Huber & Michael Lechner & Conny Wunsch, 2011. "Does leaving welfare improve health? Evidence for Germany," Health Economics, John Wiley & Sons, Ltd., vol. 20(4), pages 484-504, April.
    2. Anastasia Semykina, 2018. "Self‐employment among women: Do children matter more than we previously thought?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(3), pages 416-434, April.
    3. Wenliang Hou & Alicia H. Munnell & Geoffrey T. Sanzenbacher & Yinji Li, 2017. "Why Are U.S. Households Claiming Social Security Later?," Working Papers, Center for Retirement Research at Boston College wp2017-3, Center for Retirement Research.
    4. Berg Claudia & Emran Shahe & Shilpi Forhad, 2020. "Microfinance and Moneylenders: Long-run Effects of MFIs on Informal Credit Market in Bangladesh," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 20(3), pages 1-35, July.
    5. Kämpfen, Fabrice & Maurer, Jürgen, 2016. "Time to burn (calories)? The impact of retirement on physical activity among mature Americans," Journal of Health Economics, Elsevier, vol. 45(C), pages 91-102.
    6. Andrew E. Clark & Yarine Fawaz, 2015. "Retirement and the Marginal Utility of Income," PSE Working Papers halshs-01189009, HAL.
    7. Daniel Barth, 2018. "The Costs and Beliefs Implied by Direct Stock Ownership," Management Science, INFORMS, vol. 64(11), pages 5263-5288, November.
    8. Schurer, Stefanie, 2008. "Discrete Heterogeneity in the Impact of Health Shocks on Labour Market Outcomes," Ruhr Economic Papers 71, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    9. Fernández-Val, Iván & Savchenko, Yevgeniya & Vella, Francis, 2013. "Evaluating the Role of Individual Specific Heterogeneity in the Relationship Between Subjective Health Assessments and Income," IZA Discussion Papers 7651, Institute of Labor Economics (IZA).
    10. Fernández-Val, Iván & Savchenko, Yevgeniya & Vella, Francis, 2017. "Evaluating the role of income, state dependence and individual specific heterogeneity in the determination of subjective health assessments," Economics & Human Biology, Elsevier, vol. 25(C), pages 85-98.
    11. Pamela Giustinelli & Matthew D. Shapiro, 2018. "SeaTE: Subjective ex ante Treatment Effect of Health on Retirement," Working Papers wp382, University of Michigan, Michigan Retirement Research Center.
    12. Laura Liu & Alexandre Poirier & Ji-Liang Shiu, 2021. "Identification and Estimation of Partial Effects in Nonlinear Semiparametric Panel Models," Papers 2105.12891, arXiv.org, revised Dec 2023.
    13. Emma Gorman & Grant M Scobie & Andy Towers, 2012. "Health and Retirement of Older New Zealanders," Treasury Working Paper Series 12/02, New Zealand Treasury.
    14. Sime Smolic & Ivan Cipin & Petra Medimurec, 2020. "How is health associated with employment during later working life in Croatia?," Public Sector Economics, Institute of Public Finance, vol. 44(1), pages 99-116.
    15. Anita Tisch, 2015. "Health, work ability and work motivation: determinants of labour market exit among German employees born in 1959 and 1965 [Gesundheit, Arbeitsfähigkeit und Arbeitsmotivation: Beweggründe für den Er," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 48(3), pages 233-245, October.

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    More about this item

    Keywords

    health; retirement; nonadditive correlated effects; semiparametric estimation;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • J10 - Labor and Demographic Economics - - Demographic Economics - - - General
    • J26 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Retirement; Retirement Policies
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General

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