IDEAS home Printed from https://ideas.repec.org/p/ulp/sbbeta/2010-08.html
   My bibliography  Save this paper

The impact of ambiguity on health prevention and insurance

Author

Listed:
  • Johanna Etner
  • Sandrine Spaeter

Abstract

In this paper, we analyze the choice of primary prevention made by individuals who bear a risk of being in bad health and an additive risk (of complications) that occurs after a disease has been diagnosed. By considering a two argument utility (depending on wealth and health), we show that the presence of a well-known (no ambiguity) additive risk of complications induces more investment in primary prevention by a risk-averse agent only if her preferences does not display some cross prudence in wealth (u122 0). We also show that full (partial) insurance can be optimal even if insurance premia are loaded (fair). These results hold with and without prevention and the individuals attitudes toward correlation help explain the impact of ambiguity on the optimal individual decisions.

Suggested Citation

  • Johanna Etner & Sandrine Spaeter, 2010. "The impact of ambiguity on health prevention and insurance," Working Papers of BETA 2010-08, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
  • Handle: RePEc:ulp:sbbeta:2010-08
    as

    Download full text from publisher

    File URL: http://www.beta-umr7522.fr/productions/publications/2010/2010-08.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Doherty, Neil A & Eeckhoudt, Louis, 1995. "Optimal Insurance without Expected Utility: The Dual Theory and the Linearity of Insurance Contracts," Journal of Risk and Uncertainty, Springer, vol. 10(2), pages 157-179, March.
    2. Louis Eeckhoudt & Béatrice Rey & Harris Schlesinger, 2007. "A Good Sign for Multivariate Risk Taking," Management Science, INFORMS, pages 117-124.
    3. Gajdos, T. & Hayashi, T. & Tallon, J.-M. & Vergnaud, J.-C., 2008. "Attitude toward imprecise information," Journal of Economic Theory, Elsevier, pages 27-65.
    4. Dardanoni, Valentino & Wagstaff, Adam, 1990. "Uncertainty and the demand for medical care," Journal of Health Economics, Elsevier, vol. 9(1), pages 23-38, June.
    5. Dominique Goux & Eric Maurin, 2000. "The Decline In Demand For Unskilled Labor: An Empirical Analysis Method And Its Application To France," The Review of Economics and Statistics, MIT Press, pages 596-607.
    6. Christian Gollier & Harris Schlesinger, 1996. "Arrow's theorem on the optimality of deductibles: A stochastic dominance approach (*)," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), pages 359-363.
    7. Sandrine Spaeter & Patrick Roger, 1997. "The Design of Optimal Insurance Contracts: A Topological Approach," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 22(1), pages 5-19, June.
    8. Viscusi, W Kip & Evans, William N, 1990. "Utility Functions That Depend on Health Status: Estimates and Economic Implications," American Economic Review, American Economic Association, pages 353-374.
    9. Gilboa, Itzhak & Schmeidler, David, 1989. "Maxmin expected utility with non-unique prior," Journal of Mathematical Economics, Elsevier, vol. 18(2), pages 141-153, April.
    10. Christophe Courbage & Béatrice Rey, 2006. "Prudence and optimal prevention for health risks," Health Economics, John Wiley & Sons, Ltd., vol. 15(12), pages 1323-1327.
    11. Peter Klibanoff & Massimo Marinacci & Sujoy Mukerji, 2005. "A Smooth Model of Decision Making under Ambiguity," Econometrica, Econometric Society, vol. 73(6), pages 1849-1892, November.
    12. Bleichrodt, Han & Crainich, David & Eeckhoudt, Louis, 2003. "The effect of comorbidities on treatment decisions," Journal of Health Economics, Elsevier, vol. 22(5), pages 805-820, September.
    13. Meglena Jeleva, 2000. "Background Risk, Demand for Insurance, and Choquet Expected Utility Preferences," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 25(1), pages 7-28, June.
    14. Evans, William N & Viscusi, W Kip, 1991. "Estimation of State-Dependent Utility Functions Using Survey Data," The Review of Economics and Statistics, MIT Press, vol. 73(1), pages 94-104, February.
    15. Louis Eeckhoudt & Christian Gollier, 2005. "The impact of prudence on optimal prevention," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), pages 989-994.
    16. Raviv, Artur, 1979. "The Design of an Optimal Insurance Policy," American Economic Review, American Economic Association, pages 84-96.
    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. Anwar, Sajid & Zheng, Mingli, 2012. "Competitive insurance market in the presence of ambiguity," Insurance: Mathematics and Economics, Elsevier, vol. 50(1), pages 79-84.
    2. Meixing Dai, 2012. "External Constraint and Financial Crises with Balance Sheet Effects," International Economic Journal, Taylor & Francis Journals, vol. 26(4), pages 567-585, March.
    3. Loïc Berger, 2016. "The impact of ambiguity and prudence on prevention decisions," Theory and Decision, Springer, pages 389-409.

    More about this item

    Keywords

    health; utility; ambiguity; prevention; insurance.;

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • I19 - Health, Education, and Welfare - - Health - - - Other

    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:ulp:sbbeta:2010-08. 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: (). General contact details of provider: http://edirc.repec.org/data/bestrfr.html .

    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 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.

    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.