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Optimal Retirement Age: Death Hazard Rate Approach

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  • Linden, Mikael

Abstract

A model with special attention on the (subjective) survival probability is proposed to understand salient aspects of retirement age decision. Optimal retirement age results are derived with a death hazard rate function having non-negative duration dependence. At the optimum age, the retiree wants to have a compensation in the form of early retirement for his/her evident non-zero death risk. A retiree with large welfare inputs supporting mortality risk decreasing effects delays his/her retirement time. From policy perspective we need to lower the elderly health costs to reduce the death hazard rates leading to higher optimal retirement ages. Some empirical findings with the birth year 1947 cohort in Finland do not conflict the model results. Death hazard rate function estimates show that gender, health, civil status, incomes, and pension affect the death hazard rates. The retirement age has a longevity increasing effect across the different model specification.

Suggested Citation

  • Linden, Mikael, 2024. "Optimal Retirement Age: Death Hazard Rate Approach," MPRA Paper 120786, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:120786
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    1. Bound, John & Stinebrickner, Todd & Waidmann, Timothy, 2010. "Health, economic resources and the work decisions of older men," Journal of Econometrics, Elsevier, vol. 156(1), pages 106-129, May.
    2. Gary S. Fields & Olivia S. Mitchell, 1984. "Economic Determinants of the Optimal Retirement Age: An Empirical Investigation," Journal of Human Resources, University of Wisconsin Press, vol. 19(2), pages 245-262.
    3. Kuhn, Michael & Wrzaczek, Stefan & Prskawetz, Alexia & Feichtinger, Gustav, 2015. "Optimal choice of health and retirement in a life-cycle model," Journal of Economic Theory, Elsevier, vol. 158(PA), pages 186-212.
    4. Carl-Johan Dalgaard & Holger Strulik, 2014. "Optimal Aging And Death: Understanding The Preston Curve," Journal of the European Economic Association, European Economic Association, vol. 12(3), pages 672-701, June.
    5. Eric French & John Bailey Jones, 2017. "Health, Health Insurance, and Retirement: A Survey," Annual Review of Economics, Annual Reviews, vol. 9(1), pages 383-409, September.
    6. repec:dau:papers:123456789/6825 is not listed on IDEAS
    7. Sebnem Kalemli-Ozcan & David Weil, 2010. "Mortality change, the uncertainty effect, and retirement," Journal of Economic Growth, Springer, vol. 15(1), pages 65-91, March.
    8. Antoine Bozio & Clémentine Garrouste & Elsa Perdrix, 2021. "Impact of later retirement on mortality: Evidence from France," Health Economics, John Wiley & Sons, Ltd., vol. 30(5), pages 1178-1199, May.
    9. Raquel Fonseca Benito & Pierre-Carl Michaud & Titus Galama & Arie Kapteyn, 2009. "On the Rise of Health Spending and Longevity," Working Papers WR-722, RAND Corporation.
    10. Cremer, Helmuth & Lozachmeur, Jean-Marie & Pestieau, Pierre, 2004. "Social security, retirement age and optimal income taxation," Journal of Public Economics, Elsevier, vol. 88(11), pages 2259-2281, September.
    11. Owen O'Donnell & Federica Teppa & Eddy van Doorslaer, 2008. "Can subjective survival expectations explain retirement behaviour?," DNB Working Papers 188, Netherlands Central Bank, Research Department.
    12. Vincent P. Crawford & David M. Lilien, 1981. "Social Security and the Retirement Decision," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 96(3), pages 505-529.
    13. Wu, Shang & Stevens, Ralph & Thorp, Susan, 2015. "Cohort and target age effects on subjective survival probabilities: Implications for models of the retirement phase," Journal of Economic Dynamics and Control, Elsevier, vol. 55(C), pages 39-56.
    14. Alberto Palloni & Beatriz Novak, 2016. "Subjective survival expectations and observed survival: How consistent are they?," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 14(1), pages 187-228.
    15. Legrand, Catherine, 2021. "Advanced Survival Models," LIDAM Reprints ISBA 2021015, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    16. Blundell, R. & French, E. & Tetlow, G., 2016. "Retirement Incentives and Labor Supply," Handbook of the Economics of Population Aging, in: Piggott, John & Woodland, Alan (ed.), Handbook of the Economics of Population Aging, edition 1, volume 1, chapter 0, pages 457-566, Elsevier.
    17. Chen, An & Hentschel, Felix & Steffensen, Mogens, 2021. "On retirement time decision making," Insurance: Mathematics and Economics, Elsevier, vol. 100(C), pages 107-129.
    18. Peijnenburg, J.M.J. & Nijman, T.E. & Werker, B.J.M., 2010. "Health Cost Risk and Optimal Retirement Provision : A Simple Rule for Annuity Demand," Other publications TiSEM f178a33d-4386-4036-861f-6, Tilburg University, School of Economics and Management.
    19. repec:hal:pseptp:hal-03215922 is not listed on IDEAS
    20. Mao, Hong & Ostaszewski, Krzysztof M. & Wang, Yuling, 2014. "Optimal retirement age, leisure and consumption," Economic Modelling, Elsevier, vol. 43(C), pages 458-464.
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    More about this item

    Keywords

    Optimal retirement age; survival probabilities; death hazard rate function; survival model estimation; frailty.;
    All these keywords.

    JEL classification:

    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination

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