IDEAS home Printed from https://ideas.repec.org/p/ucd/wpaper/201509.html
   My bibliography  Save this paper

Wealth and the Effect of Subjective Survival Probability

Author

Listed:
  • Sanna Nivakoski

    (UCD Geary Institute for Public Policy, University College Dublin)

Abstract

The life-cycle hypothesis predicts that longer life expectancy should, ceteris paribus, lead to the accumu- lation of more wealth during working life to fund consumption in retirement. The prediction is tested by examining whether subjective survival probability (SSP)- a proxy measure of self-assessed life ex- pectancy - affects wealth holdings among the pre-retirement older population. SSP is instrumented to address measurement error and reverse causality. The findings suggest that a 1 percentage point increase in the self-assessed probability of reaching age 75 increases an individual's financial wealth by approximately EUR 3,400 and total wealth (including pension wealth) by approximately EUR 6,200.

Suggested Citation

  • Sanna Nivakoski, 2015. "Wealth and the Effect of Subjective Survival Probability," Working Papers 201509, Geary Institute, University College Dublin.
  • Handle: RePEc:ucd:wpaper:201509
    as

    Download full text from publisher

    File URL: http://www.ucd.ie/geary/static/publications/workingpapers/gearywp201509.pdf
    File Function: First version, 2015
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    financial wealth; pension wealth; life-cycle hypothesis; longevity; subjective survival probability;
    All these keywords.

    JEL classification:

    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

    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:ucd:wpaper:201509. 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.

    We have no bibliographic 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.

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