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Dynamics of Poor Health and Non-Employment

Author

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  • Haan, Peter

    (DIW Berlin)

  • Myck, Michal

    (Centre for Economic Analysis, CenEA)

Abstract

While there is little doubt that the probability of poor health increases with age, and that less healthy people face a more difficult situation on the labour market, the precise relationship between facing the risks of health deterioration and labour market instability is not well understood. Using twelve years of data from the German Socio-Economic Panel we study the nature of the relationship between poor health and non-employment on a sample of German men aged 30-59. We propose to model poor health and non-employment as interrelated risks determined within a dynamic structure conditional on a set of individual characteristics. Applying dynamic panel estimation we identify the mechanism through which poor health contributes to the probability of being jobless and vice versa. We find an important role of unobserved heterogeneity and evidence for correlation in the unobservable characteristics determining the two processes. The results also show strong persistence in the dynamics of poor health and non-employment.

Suggested Citation

  • Haan, Peter & Myck, Michal, 2009. "Dynamics of Poor Health and Non-Employment," IZA Discussion Papers 4154, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp4154
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    1. Pierre‐Carl Michaud & Konstantinos Tatsiramos, 2011. "Fertility and female employment dynamics in Europe: the effect of using alternative econometric modeling assumptions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(4), pages 641-668, June.
    2. Clark, Andrew E & Oswald, Andrew J, 1994. "Unhappiness and Unemployment," Economic Journal, Royal Economic Society, vol. 104(424), pages 648-659, May.
    3. Rob Alessie & Stefan Hochguertel & Arthur van Soest, 2004. "Ownership of Stocks and Mutual Funds: A Panel Data Analysis," The Review of Economics and Statistics, MIT Press, vol. 86(3), pages 783-796, August.
    4. Espen Bratberg, 1999. "Disability Retirement in a Welfare State," Scandinavian Journal of Economics, Wiley Blackwell, vol. 101(1), pages 97-114, March.
    5. R. T. Riphahn, 1999. "Disability Retirement among German Men in the 1980s," ILR Review, Cornell University, ILR School, vol. 52(4), pages 628-647, July.
    6. Kuhn, Peter & Sweetman, Arthur, 1999. "Vulnerable Seniors: Unions, Tenure, and Wages Following Permanent Job Loss," Journal of Labor Economics, University of Chicago Press, vol. 17(4), pages 671-693, October.
    7. Carrasco, Raquel, 2001. "Binary Choice with Binary Endogenous Regressors in Panel Data: Estimating the Effect of Fertility on Female Labor Participation," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(4), pages 385-394, October.
    8. Manton, Kenneth G & Stallard, Eric & Corder, Larry, 1998. "Economic Effects of Reducing Disability," American Economic Review, American Economic Association, vol. 88(2), pages 101-105, May.
    9. Chan, Sewin & Stevens, Ann Huff, 2001. "Job Loss and Employment Patterns of Older Workers," Journal of Labor Economics, University of Chicago Press, vol. 19(2), pages 484-521, April.
    10. Jonathan Gruber, 2000. "Disability Insurance Benefits and Labor Supply," Journal of Political Economy, University of Chicago Press, vol. 108(6), pages 1162-1183, December.
    11. Adriaan Kalwij & Frederic Vermeulen, 2008. "Health and labour force participation of older people in Europe: What do objective health indicators add to the analysis?," Health Economics, John Wiley & Sons, Ltd., vol. 17(5), pages 619-638, May.
    12. Pierre‐Carl Michaud & Konstantinos Tatsiramos, 2011. "Fertility and female employment dynamics in Europe: the effect of using alternative econometric modeling assumptions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(4), pages 641-668, June.
    13. H. Shelton Brown & José A. Pagán & Elena Bastida, 2005. "The impact of diabetes on employment: genetic IVs in a bivariate probit," Health Economics, John Wiley & Sons, Ltd., vol. 14(5), pages 537-544, May.
    14. Peter Adams & Michael D. Hurd & Daniel L. McFadden & Angela Merrill & Tiago Ribeiro, 2004. "Healthy, Wealthy, and Wise? Tests for Direct Causal Paths between Health and Socioeconomic Status," NBER Chapters, in: Perspectives on the Economics of Aging, pages 415-526, National Bureau of Economic Research, Inc.
    15. Beni­tez-Silva, Hugo & Ni, Huan, 2008. "Health status and health dynamics in an empirical model of expected longevity," Journal of Health Economics, Elsevier, vol. 27(3), pages 564-584, May.
    16. Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
    17. Richard Blundell & Costas Meghir & Sarah Smith, 2002. "Pension Incentives and the Pattern of Early Retirement," Economic Journal, Royal Economic Society, vol. 112(478), pages 153-170, March.
    18. Dean R. Hyslop, 1999. "State Dependence, Serial Correlation and Heterogeneity in Intertemporal Labor Force Participation of Married Women," Econometrica, Econometric Society, vol. 67(6), pages 1255-1294, November.
    19. Akay, Alpaslan, 2009. "The Wooldridge Method for the Initial Values Problem Is Simple: What About Performance?," IZA Discussion Papers 3943, Institute of Labor Economics (IZA).
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    Citations

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    Cited by:

    1. Emmanuel Duguet & Christine Le Clainche, 2012. "The impact of health events on individual labor market histories : the message from difference in differences with exact matching," Working Papers halshs-00674560, HAL.
    2. Emmanuel Duguet & Christine Le Clainche, 2014. "The Effect of Non-Work Related Health Events on Career Outcomes: An Evaluation in the French Labor Market," Revue d'économie politique, Dalloz, vol. 124(3), pages 437-465.
    3. Walsh, Brendan & Doorley, Karina, 2022. "Occupations and health," Papers BP2023/3, Economic and Social Research Institute (ESRI).
    4. Mareva Sabatier & Bérangère Legendre, 2017. "The puzzle of older workers’ employment: distance to retirement and health effects," International Journal of Manpower, Emerald Group Publishing Limited, vol. 38(1), pages 45-61, April.
    5. Emmanuel Duguet & Christine Le Clainche, 2020. "The Socioeconomic and Gender Impacts of Health Events on Employment Transitions in France: A Panel Data Study," Journal of Human Capital, University of Chicago Press, vol. 14(3), pages 449-483.
    6. Datta Gupta, Nabanita & Kleinjans, Kristin J. & Larsen, Mona, 2011. "The Effect of an Acute Health Shock on Work Behavior: Evidence from Different Health Care Regimes," IZA Discussion Papers 5843, Institute of Labor Economics (IZA).
    7. Emmanuel Duguet & Christine Le Clainche, 2012. "Chronic Illnesses and Injuries: An Evaluation of their Impact on Occupation and Revenues," Erudite Working Paper 2012-03, Erudite.
    8. Emmanuel Duguet & Christine Le Clainche, 2014. "Chronic Illnesses and Injuries: An Evaluation of their Impact on Occupation and Revenues / Maladies chroniques et accidents : une évaluation de leur impact sur le parcours professionnel et les revenus," Working Papers halshs-00966970, HAL.
    9. Emmanuel Duguet & Christine Le Clainche, 2014. "The Impact of Health Events on Individual Labor Market Histories: the Message from Difference in Differences with Exact Matching / L'impact des événements de santé sur la carrière professionnelle : un," Working Papers halshs-00966963, HAL.

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    More about this item

    Keywords

    dynamic panel data; non-employment; risk; health; ageing;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination

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