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The Impact Of Health Changes On Labor Supply: Evidence From Merged Data On Individual Objective Medical Diagnosis Codes And Early Retirement Behavior

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  • Bent Jesper Christensen
  • Malene Kallestrup‐Lamb

Abstract

The justification bias in the estimated impact of health shocks on retirement is mitigated by using objective health measures from a large, register‐based longitudinal data set including medical diagnosis codes, along with labor market status, financial, and socio‐economic variables. The duration until retirement is modeled using single and competing risk specifications, observed and unobserved heterogeneity, and flexible baseline hazards. Wealth is used as a proxy for elapsed duration to mitigate the potential selection bias stemming from conditioning on initial participation. The competing risk specification distinguishes complete multiperiod routes to retirement, such as unemployment followed by early retirement. A result on comparison of coefficients across all states is offered. The empirical results indicate a strong impact of health changes on retirement and hence a large potential for public policy measures intended to retain older workers longer in the labor force. Disability responds more to health shocks than early retirement, especially to diseases of the circulatory, respiratory, and musculoskeletal systems, as well as mental and behavioral disorders. Some unemployment spells followed by early retirement appear voluntary and spurred by life style diseases. Copyright © 2012 John Wiley & Sons, Ltd.

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  • Bent Jesper Christensen & Malene Kallestrup‐Lamb, 2012. "The Impact Of Health Changes On Labor Supply: Evidence From Merged Data On Individual Objective Medical Diagnosis Codes And Early Retirement Behavior," Health Economics, John Wiley & Sons, Ltd., vol. 21(S1), pages 56-100, June.
  • Handle: RePEc:wly:hlthec:v:21:y:2012:i:s1:p:56-100
    DOI: 10.1002/hec.2811
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    3. Gerke, Oke & Lauridsen, Jørgen T., 2013. "Determinants of early retirement in Denmark. An empirical investigation using SHARE data," Discussion Papers on Economics 4/2013, University of Southern Denmark, Department of Economics.
    4. Malene Kallestrup-Lamb, 2011. "The Role of the Spouse in Early Retirement Decisions for Older Workers," CREATES Research Papers 2011-38, Department of Economics and Business Economics, Aarhus University.
    5. Ilmakunnas, Pekka & Ilmakunnas, Seija, 2018. "Health and retirement age: Comparison of expectations and actual retirement," MPRA Paper 102618, University Library of Munich, Germany.
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    7. Apergis, Nicholas & Mustafa, Ghulam & Dastidar, Sayantan Ghosh, 2021. "An analysis of the impact of unconventional oil and gas activities on public health: New evidence across Oklahoma counties," Energy Economics, Elsevier, vol. 97(C).
    8. Xin Deng & Miao Zeng & Dingde Xu & Feng Wei & Yanbin Qi, 2019. "Household Health and Cropland Abandonment in Rural China: Theoretical Mechanism and Empirical Evidence," IJERPH, MDPI, vol. 16(19), pages 1-13, September.
    9. O'Halloran, Jamie & Oxholm, Anne Sophie & Pedersen, Line Bjørnskov & Gyrd-Hansen, Dorte, 2021. "Time to retire? A register-based study of GPs’ practice style prior to retirement," Social Science & Medicine, Elsevier, vol. 281(C).
    10. Boman, Anders, 2015. "Spending time together? Effects on the retirement decision from partner’s labour market status," Working Papers in Economics 618, University of Gothenburg, Department of Economics.
    11. Shuolin Shi & Ralf A. Wilke, 2022. "Variable selection with group structure: exiting employment at retirement age—a competing risks quantile regression analysis," Empirical Economics, Springer, vol. 62(1), pages 119-155, January.
    12. Martinson Ankrah Twumasi & Hongyun Zheng & Love Offeibea Asiedu-Ayeh & Anthony Siaw & Yuansheng Jiang, 2023. "Access to Financial Services and Its Impact on Household Income: Evidence from Rural Ghana," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 35(4), pages 869-890, August.
    13. Martinson Ankrah Twumasi & Yuansheng Jiang & Bismark Addai & Zhao Ding & Abbas Ali Chandio & Prince Fosu & Dennis Asante & Anthony Siaw & Frank Osei Danquah & Bright Asiamah Korankye & Gideon Ntim-Amo, 2021. "The Impact of Cooperative Membership on Fish Farm Households’ Income: The Case of Ghana," Sustainability, MDPI, vol. 13(3), pages 1-16, January.

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    More about this item

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • J26 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Retirement; Retirement Policies
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies

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