IDEAS home Printed from https://ideas.repec.org/p/red/sed004/146.html
   My bibliography  Save this paper

Husbands Might Really Be That Cheap

Author

Listed:
  • Matthew S. Chambers
  • Don E. Schlagenhauf

Abstract

In this paper, we study the decision to purchase life insurance as part of a lifecycle plan of consumption, savings, and labor supply. Households are subject to idiosyncratic risk in their labor productivity as well as the composition and size of their family, and respond by accumulating savings, working, and purchasing life insurance to hedeg against death of an adult. Using a calibrated general equilibrium model that matches key facts from the income and wealth distribution, we estimate that consumption-smoothing motives produce excessive LI holdings relative to the data, even when load factors consistent with estimates are introduced

Suggested Citation

  • Matthew S. Chambers & Don E. Schlagenhauf, 2004. "Husbands Might Really Be That Cheap," 2004 Meeting Papers 146, Society for Economic Dynamics.
    • Handle: RePEc:red:sed004:146
    as

    Download full text from publisher

    File URL: http://garnet.acns.fsu.edu/~eyoung/CSY_LI3a.pdf
    File Function: main text
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Jay H. Hong & José-Víctor Ríos-Rull, 2012. "Life Insurance and Household Consumption," American Economic Review, American Economic Association, vol. 102(7), pages 3701-3730, December.

    More about this item

    Keywords

    Life Insurance; Demographics;

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • J17 - Labor and Demographic Economics - - Demographic Economics - - - Value of Life; Foregone Income

    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:red:sed004:146. 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: Christian Zimmermann (email available below). General contact details of provider: https://edirc.repec.org/data/sedddea.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.