IDEAS home Printed from https://ideas.repec.org/a/cup/jpenef/v11y2012i01p21-52_00.html
   My bibliography  Save this article

Optimal onset and exhaustion of retirement savings in a life-cycle model

Author

Listed:
  • LACHANCE, MARIE-EVE

Abstract

This paper facilitates the exploration of optimal individual retirement savings strategies within a life-cycle framework by providing a convenient tool to implement a model suggested by Yaari (1965) with an uncertain lifetime and borrowing constraints. The solution is given both for the general case and for cases leading to closed-form equations such as power utility and Gompertz mortality. Illustrations for a wide range of parameters indicate that starting to save for retirement in the first phase of one's career is rarely optimal. Of course, this is not to say that young workers should not save for other motives – a limitation of this model is that risks besides mortality are not considered. The conclusion should also be interpreted cautiously as it is difficult to represent every possible individual circumstance and saving incentive in a single model. The intuition behind the result is that an efficient strategy allocates the burden of financing retirement first to periods with higher income (i.e. lower opportunity costs), creating the potential for an initial period without savings when income grows.

Suggested Citation

  • Lachance, Marie-Eve, 2012. "Optimal onset and exhaustion of retirement savings in a life-cycle model," Journal of Pension Economics and Finance, Cambridge University Press, vol. 11(01), pages 21-52, January.
  • Handle: RePEc:cup:jpenef:v:11:y:2012:i:01:p:21-52_00
    as

    Download full text from publisher

    File URL: http://journals.cambridge.org/abstract_S1474747210000284
    File Function: link to article abstract page
    Download Restriction: no

    Citations

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


    Cited by:

    1. Huang, Huaxiong & Milevsky, Moshe A., 2016. "Longevity risk and retirement income tax efficiency: A location spending rate puzzle," Insurance: Mathematics and Economics, Elsevier, vol. 71(C), pages 50-62.
    2. repec:eee:dyncon:v:84:y:2017:i:c:p:58-76 is not listed on IDEAS
    3. Huang, Huaxiong & Milevsky, Moshe A. & Salisbury, Thomas S., 2012. "Optimal retirement consumption with a stochastic force of mortality," Insurance: Mathematics and Economics, Elsevier, vol. 51(2), pages 282-291.
    4. Huaxiong Huang & Moshe A. Milevsky & Thomas S. Salisbury, 2012. "Optimal retirement consumption with a stochastic force of mortality," Papers 1205.2295, arXiv.org.

    More about this item

    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:cup:jpenef:v:11:y:2012:i:01:p:21-52_00. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Keith Waters). General contact details of provider: http://journals.cambridge.org/jid_PEF .

    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.

    We have no references for this item. You can help adding them by using 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.