IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/115903.html
   My bibliography  Save this paper

Retirement duration maximization with survival time expectations

Author

Listed:
  • Linden, Mikael

Abstract

Paper proposes a model of retirement duration maximization based on retiree’s ex-ante intended retirement age and subjective survival time estimate. The optimum result needs that retirement age is an increasing convex function of survival time estimate supporting postponed retirement age with longer intended retirement duration. As a result, the average actual observed retirement duration is less than the intended duration. The result is valid irrespectively of biasedness of subjective survival estimates

Suggested Citation

  • Linden, Mikael, 2022. "Retirement duration maximization with survival time expectations," MPRA Paper 115903, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:115903
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/115903/1/MPRA_paper_115903.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wolfe, John R, 1983. "Perceived Longevity and Early Retirement," The Review of Economics and Statistics, MIT Press, vol. 65(4), pages 544-551, November.
    2. Eytan Sheshinski, 2005. "Longevity and Aggregate Savings," Discussion Paper Series dp403, The Federmann Center for the Study of Rationality, the Hebrew University, Jerusalem.
    3. 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.
    4. 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.
    5. Milevsky,Moshe A., 2006. "The Calculus of Retirement Income," Cambridge Books, Cambridge University Press, number 9780521842587, November.
    6. Eytan Sheshinski, 2006. "Note on Longevity and Aggregate Savings," Scandinavian Journal of Economics, Wiley Blackwell, vol. 108(2), pages 353-356, July.
    7. 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.
    8. 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.
    9. Mashfiqur R. Khan & Matthew S. Rutledge & April Yanyuan Wu, 2014. "How Do Subjective Longevity Expectations Influence Retirement Plans?," Working Papers, Center for Retirement Research at Boston College wp2014-1, Center for Retirement Research.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Linden, Mikael & Väänänen, Niko, 2023. "Mean survival times and retirement ages," MPRA Paper 119344, University Library of Munich, Germany.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Linden, Mikael, 2024. "Optimal Retirement Age: Death Hazard Rate Approach," MPRA Paper 120786, University Library of Munich, Germany.
    2. 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.
    3. Linden, Mikael & Väänänen, Niko, 2023. "Mean survival times and retirement ages," MPRA Paper 119344, University Library of Munich, Germany.
    4. Torben M. Andersen & Marias H. Gestsson, 2010. "Longevity, Growth and Intergenerational Equity - The Deterministic Case," Economics wp52, Department of Economics, Central bank of Iceland.
    5. Bloom, David E. & Canning, David & Mansfield, Richard K. & Moore, Michael, 2007. "Demographic change, social security systems, and savings," Journal of Monetary Economics, Elsevier, vol. 54(1), pages 92-114, January.
    6. Federica Teppa & Susan Thorp & Hazel Bateman, 2015. "Family, friends and framing: A cross-country study of subjective survival expectations," DNB Working Papers 491, Netherlands Central Bank, Research Department.
    7. Linden, Mikael, 2023. "Retirement Age Trap: RDD Approach to Terminated Retirement Spells," MPRA Paper 119168, University Library of Munich, Germany.
    8. Klaus Prettner & David Canning, 2014. "Increasing life expectancy and optimal retirement in general equilibrium," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 56(1), pages 191-217, May.
    9. Joan Costa-Font & Cristina Vilaplana-Prieto, 2022. "Biased survival expectations and behaviours: Does domain specific information matter?," Journal of Risk and Uncertainty, Springer, vol. 65(3), pages 285-317, December.
    10. Eytan Sheshinski, 2005. "Longevity and Aggregate Savings," Discussion Paper Series dp403, The Federmann Center for the Study of Rationality, the Hebrew University, Jerusalem.
    11. Vesile Kutlu-Koc & Adriaan Kalwij, 2017. "Individual Survival Expectations and Actual Mortality: Evidence from Dutch Survey and Administrative Data," European Journal of Population, Springer;European Association for Population Studies, vol. 33(4), pages 509-532, October.
    12. Spånberg, Erik & Shahnazarian, Hovick, 2019. "The importance of the financial system for the current account in Sweden: A sectoral approach," International Economics, Elsevier, vol. 158(C), pages 91-103.
    13. Lei He & Shuyi Zhou & Zilan Liu, 2020. "How is aggregate household consumption affected jointly by longevity, pension, and aging? Theory and evidence," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 67(4), pages 499-512, December.
    14. Anne C. Gielen, 2009. "Working hours flexibility and older workers' labor supply," Oxford Economic Papers, Oxford University Press, vol. 61(2), pages 240-274, April.
    15. Brigitte Dormont & Anne-Laure Samson & Marc Fleurbaey & Stéphane Luchini & Erik Schokkaert, 2018. "Individual Uncertainty About Longevity," Demography, Springer;Population Association of America (PAA), vol. 55(5), pages 1829-1854, October.
    16. Shesshinski, Eytan, 2006. "Longevity and Aggregate Savings," MPRA Paper 55165, University Library of Munich, Germany, revised Mar 2007.
    17. Aylit T. Romm & Martha Wolny, 2012. "The Impact of Later Retirement Ages on Aggregate Household Savings and Saving Rates: An Analysis of OECD Countries," Working Papers 269, Economic Research Southern Africa.
    18. Johan Fourie, 2012. "The wealth of the Cape Colony: Measurements from probate inventories," Working Papers 268, Economic Research Southern Africa.
    19. Torben Andersen, 2014. "Intergenerational redistribution and risk sharing with changing longevity," Journal of Economics, Springer, vol. 111(1), pages 1-27, February.
    20. Lei He & Zhengqi Wang, 2023. "The interaction effects of rising life expectancy and the public pension burden on aggregate savings and economic growth," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 22(2), pages 229-250, May.

    More about this item

    Keywords

    Optimal retirement age; intended retirement duration; subjective survival time estimates; convex function;
    All these keywords.

    JEL classification:

    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:115903. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.