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Mean survival times and retirement ages

Author

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  • Linden, Mikael
  • Väänänen, Niko

Abstract

We propose an elementary economic model which assumes that the integral of life survival function can be interpreted as a utility function. The model helps us to understand connections between individual’s survival estimate to some specific age and the timing of retirement. The difference between survival and related longevity costs is maximized with an estimate of survival time. The results are derived with the concept of restricted mean survival times (RMST). This is also applied to the observed retirement and death ages for the Finnish year 1947 birth cohort. We show that actual survival times, i.e., mean lifetimes to the age of 73 years, which is the highest age in our follow-up sample, differ among retired and not yet retired persons between the ages from 60 to 68 years. The main result is that persons who retire in ages from 62 to 66 years have shorter mean lifetimes to the age of 73 years compared to individuals who do not retire in these ages. This is interpreted as evidence of too optimistic survival estimates among the persons retiring at the most popular retirement ages.

Suggested Citation

  • Linden, Mikael & Väänänen, Niko, 2023. "Mean survival times and retirement ages," MPRA Paper 119344, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:119344
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    References listed on IDEAS

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    1. Hans Bloemen & Stefan Hochguertel & Jochem Zweerink, 2017. "The causal effect of retirement on mortality: Evidence from targeted incentives to retire early," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 204-218, December.
    2. Wolfe, John R, 1983. "Perceived Longevity and Early Retirement," The Review of Economics and Statistics, MIT Press, vol. 65(4), pages 544-551, November.
    3. Daniel S. Hamermesh, 1985. "Expectations, Life Expectancy, and Economic Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 100(2), pages 389-408.
    4. Michael D. Hurd & James P. Smith & Julie M. Zissimopoulos, 2004. "The effects of subjective survival on retirement and Social Security claiming," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(6), pages 761-775.
    5. 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.
    6. Linden, Mikael, 2022. "Retirement duration maximization with survival time expectations," MPRA Paper 115903, University Library of Munich, Germany.
    7. Péter Hudomiet & Robert J. Willis, 2013. "Estimating Second Order Probability Beliefs from Subjective Survival Data," Decision Analysis, INFORMS, vol. 10(2), pages 152-170, June.
    8. Moshe Hazan, 2009. "Longevity and Lifetime Labor Supply: Evidence and Implications," Econometrica, Econometric Society, vol. 77(6), pages 1829-1863, November.
    9. Cormac O'Dea & David Sturrock, 2019. "Survival pessimism and the demand for annuities," IFS Working Papers W19/02, Institute for Fiscal Studies.
    10. Hernaes, Erik & Markussen, Simen & Piggott, John & Vestad, Ola L., 2013. "Does retirement age impact mortality?," Journal of Health Economics, Elsevier, vol. 32(3), pages 586-598.
    11. Federica Teppa, 2011. "Can the Longevity Risk Alleviate the Annuitization Puzzle? Empirical Evidence from Dutch Data," DNB Working Papers 302, Netherlands Central Bank, Research Department.
    12. Todd Elder, 2013. "The Predictive Validity of Subjective Mortality Expectations: Evidence From the Health and Retirement Study," Demography, Springer;Population Association of America (PAA), vol. 50(2), pages 569-589, April.
    13. David E. Bloom & David Canning & Michael Moore, 2004. "The Effect of Improvements in Health and Longevity on Optimal Retirement and Saving," NBER Working Papers 10919, National Bureau of Economic Research, Inc.
    14. Hallberg, Daniel & Johansson, Per & Josephson, Malin, 2015. "Is an early retirement offer good for your health? Quasi-experimental evidence from the army," Journal of Health Economics, Elsevier, vol. 44(C), pages 274-285.
    15. Brockmann, Hilke & Müller, Rolf & Helmert, Uwe, 2009. "Time to retire - Time to die? A prospective cohort study of the effects of early retirement on long-term survival," Social Science & Medicine, Elsevier, vol. 69(2), pages 160-164, July.
    16. Chen, An & Hieber, Peter & Rach, Manuel, 2021. "Optimal retirement products under subjective mortality beliefs," Insurance: Mathematics and Economics, Elsevier, vol. 101(PA), pages 55-69.
    17. Michael D. Hurd & Kathleen McGarry, 1995. "Evaluation of the Subjective Probabilities of Survival in the Health and Retirement Study," Journal of Human Resources, University of Wisconsin Press, vol. 30, pages 268-292.
    18. 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.
    19. Maria Perozek, 2008. "Using subjective expectations to forecast longevity: do survey respondents know something we don’t know?," Demography, Springer;Population Association of America (PAA), vol. 45(1), pages 95-113, February.
    20. 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.
    21. David E. Bloom & David Canning & Michael Moore, 2014. "Optimal Retirement with Increasing Longevity," Scandinavian Journal of Economics, Wiley Blackwell, vol. 116(3), pages 838-858, July.
    22. Federica Teppa, 2011. "Can the longevity risk alleviate The annuitization puzzle? Empirical evidence from Dutch data," Working Papers 223, ECINEQ, Society for the Study of Economic Inequality.
    23. Adeline Delavande & Susann Rohwedder, 2011. "Differential Survival in Europe and the United States: Estimates Based on Subjective Probabilities of Survival," Demography, Springer;Population Association of America (PAA), vol. 48(4), pages 1377-1400, November.
    24. 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

    Retirement ages; subjective survival times; age of death; survival analysis; restricted mean survival times (RMST;
    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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