IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/14210.html
   My bibliography  Save this paper

Long Term Insurance (LTI) for Addressing Catastrophe Risk

Author

Listed:
  • Dwight Jaffee
  • Howard Kunreuther
  • Erwann Michel-Kerjan

Abstract

This paper proposes long-term insurance (LTI) as an alternative to the standard annual homeowners policy using lessons from the mortgage market as a benchmark. LTI has the potential to significantly increase social welfare by reducing insurers' administrative costs, lowering search costs and uncertainty for consumers and providing incentives for long-term investment in mitigation measures to protect property. A two-period model illustrates situations that would make a long-term contract attractive to both insurers and consumers under competitive market conditions.

Suggested Citation

  • Dwight Jaffee & Howard Kunreuther & Erwann Michel-Kerjan, 2008. "Long Term Insurance (LTI) for Addressing Catastrophe Risk," NBER Working Papers 14210, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:14210
    Note: PE
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w14210.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Kunreuther, Howard & Sanderson, Warren & Vetschera, Rudolf, 1985. "A behavioral model of the adoption of protective activities," Journal of Economic Behavior & Organization, Elsevier, vol. 6(1), pages 1-15, March.
    2. Dwight Jaffee, 2006. "Monoline Restrictions, with Applications to Mortgage Insurance and Title Insurance," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 28(2), pages 83-108, March.
    3. Michel-Kerjan Erwann & de Marcellis-Warin Nathalie, 2006. "Public-Private Programs for Covering Extreme Events: The Impact of Information Distribution on Risk-Sharing," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 1(2), pages 1-30, February.
    4. Kunreuther, Howard & Meszaros, Jacqueline & Hogarth, Robin M. & Spranca, Mark, 1995. "Ambiguity and underwriter decision processes," Journal of Economic Behavior & Organization, Elsevier, vol. 26(3), pages 337-352, May.
    5. Koijen, Ralph S.J. & Hemert, Otto Van & Nieuwerburgh, Stijn Van, 2009. "Mortgage timing," Journal of Financial Economics, Elsevier, vol. 93(2), pages 292-324, August.
    6. Tomasz Piskorski & Alexei Tchistyi, 2010. "Optimal Mortgage Design," Review of Financial Studies, Society for Financial Studies, vol. 23(8), pages 3098-3140, August.
    7. Erwann Michel-Kerjan & Frederic Morlaye, 2008. "Extreme Events, Global Warming, and Insurance-Linked Securities: How to Trigger the “Tipping Point”," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 33(1), pages 153-176, January.
    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. Erwann O. Michel-Kerjan & Carolyn Kousky, 2010. "Come Rain or Shine: Evidence on Flood Insurance Purchases in Florida," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 77(2), pages 369-397.
    2. Haitao Yin, 2013. "Insurance Approach for Financing Extreme Climate Event Losses in China: A Status Analysis," EEPSEA Research Report rr2013035, Economy and Environment Program for Southeast Asia (EEPSEA), revised Mar 2013.
    3. Laure Cabantous & Denis Hilton & Howard Kunreuther & Erwann Michel-Kerjan, 2011. "Is imprecise knowledge better than conflicting expertise? Evidence from insurers’ decisions in the United States," Journal of Risk and Uncertainty, Springer, vol. 42(3), pages 211-232, June.
    4. Iris Grossmann & M. Morgan, 2011. "Tropical cyclones, climate change, and scientific uncertainty: what do we know, what does it mean, and what should be done?," Climatic Change, Springer, vol. 108(3), pages 543-579, October.
    5. Kousky, Carolyn & Kunreuther, Howard C., 2009. "Improving Flood Insurance and Flood Risk Management: Insights from St. Louis, Missouri," Discussion Papers dp-09-07, Resources For the Future.

    More about this item

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G2 - Financial Economics - - Financial Institutions and Services
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies

    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:nbr:nberwo:14210. 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/nberrus.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.