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Short and long run estimates of the local effects of retirement on health

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  • Fe, Eduardo
  • Hollingsworth, Bruce

Abstract

We explore the existence of short and long term effects of retirement on health. Short term effects are estimated with a regression discontinuity design which is robust to weak instruments and where the underlying assumptions of continuity of potential outcomes are uncontroversial. To identify the long term effects we propose a parametric model which, under strong assumptions, can separate normal deterioration of health from the causal effects of retirement. We apply our framework to the British Household Panel Survey, and find that retirement has little effect on health. However, our estimates suggest that retirement opens the gate to a sedentary life with an impoverished social component and this is a channel through which retirement could indirectly affect health in the long run.

Suggested Citation

  • Fe, Eduardo & Hollingsworth, Bruce, 2015. "Short and long run estimates of the local effects of retirement on health," MPRA Paper 65462, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:65462
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    Cited by:

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    2. Mattia Filomena & Matteo Picchio, 2023. "Retirement and health outcomes in a meta‐analytical framework," Journal of Economic Surveys, Wiley Blackwell, vol. 37(4), pages 1120-1155, September.
    3. Matteo Picchio & Jan C. van Ours, 2020. "Mental Health Effects of Retirement," De Economist, Springer, vol. 168(3), pages 419-452, September.
    4. Andreas Kuhn, 2018. "The complex effects of retirement on health," IZA World of Labor, Institute of Labor Economics (IZA), pages 430-430, March.
    5. Salm, Martin & Siflinger, Bettina & Xie, Mingjia, 2021. "The Effect of Retirement on Mental Health: Indirect Treatment Effects and Causal Mediation," Other publications TiSEM e28efa7f-8219-437c-a26d-2, Tilburg University, School of Economics and Management.
    6. Eduardo Fé, 2021. "Pension eligibility rules and the local causal effect of retirement on cognitive functioning," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(3), pages 812-841, July.
    7. Nielsen, Nick Fabrin, 2019. "Sick of retirement?," Journal of Health Economics, Elsevier, vol. 65(C), pages 133-152.
    8. Jan C. van Ours, 2022. "How Retirement Affects Mental Health, Cognitive Skills and Mortality; An Overview of Recent Empirical Evidence," De Economist, Springer, vol. 170(3), pages 375-400, August.
    9. Yuanrong Xu, 2023. "The effect of retirement on health and mortality in the United States," Journal of Population Research, Springer, vol. 40(2), pages 1-22, June.
    10. Leimer, Birgit & van Ewijk, Reyn, 2022. "No “honeymoon phase”: whose health benefits from retirement and when," Economics & Human Biology, Elsevier, vol. 47(C).
    11. Hasebe, Takuya & Sakai, Tadashi, 2018. "Are elderly workers more likely to die in occupational accidents? Evidence from both industry-aggregated data and administrative individual-level data in Japan," Japan and the World Economy, Elsevier, vol. 48(C), pages 79-89.

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    More about this item

    Keywords

    Regression discontinuity; retirement; instrumental variables; health; wild bootstrap.;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • J26 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Retirement; Retirement Policies

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