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Buying Insurance for Disaster-Type Risks: Experimental Evidence

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  • Ganderton, Philip T, et al
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    Abstract

    This paper presents a series of experiments that confront subjects with low probability, high loss situations. A rich parameter set is examined and we find subjects respond to low probability, high loss risks in predictable ways. As loss events become more likely, or loss amounts get larger, or the cost of insurance falls, subjects are more likely to buy indemnifying insurance, even for the class of low probability risks that usually presents problems for standard expected utility theory. A novel application of Cameron's method to estimate willingness to pay from dichotomous choice responses allows us to estimate willingness to pay for insurance. We do not observe the bimodal distribution of bids found in other studies of similar risk situations. Copyright 2000 by Kluwer Academic Publishers

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    Bibliographic Info

    Article provided by Springer in its journal Journal of Risk and Uncertainty.

    Volume (Year): 20 (2000)
    Issue (Month): 3 (May)
    Pages: 271-89

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    Handle: RePEc:kap:jrisku:v:20:y:2000:i:3:p:271-89

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    Web page: http://www.springerlink.com/link.asp?id=100299

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    Cited by:
    1. Keser, Claudia & Montmarquette, Claude, 2008. "Voluntary contributions to reduce expected public losses," Journal of Economic Behavior & Organization, Elsevier, vol. 66(3-4), pages 477-491, June.
    2. Marielle Brunette & Laure Cabantous & Stéphane Couture & Anne Stenger, 2008. "Insurance Demand for Disaster-type Risks and the Separation of Attitudes toward Risk and Ambiguity: an Experimental Study," Working Papers - Cahiers du LEF 2008-05, Laboratoire d'Economie Forestiere, AgroParisTech-INRA.
    3. Ulrich Schmidt, 2012. "Insurance Demand and Prospect Theory," Kiel Working Papers 1750, Kiel Institute for the World Economy.
    4. Roy Brouwer & Marije Schaafsma, 2013. "Modelling risk adaptation and mitigation behaviour under different climate change scenarios," Climatic Change, Springer, vol. 117(1), pages 11-29, March.
    5. Erwann Michel-Kerjan & Paul A. Raschky & Howard C. Kunreuther, 2009. "Corporate Demand for Insurance: An Empirical Analysis of the U.S. Market for Catastrophe and Non-Catastrophe Risks," Working Papers 2009-10, Faculty of Economics and Statistics, University of Innsbruck.
    6. Andreas Richter & Jörg Schiller & Harris Schlesinger, 2014. "Behavioral insurance: Theory and experiments," Journal of Risk and Uncertainty, Springer, vol. 48(2), pages 85-96, April.
    7. Susan Laury & Melayne McInnes & J. Swarthout, 2009. "Insurance decisions for low-probability losses," Journal of Risk and Uncertainty, Springer, vol. 39(1), pages 17-44, August.
    8. Susan K. Laury & Melayne Morgan McInnes & J. Todd Swarthout, 2008. "Insurance Purchase for Low-Probability Losses," Experimental Economics Center Working Paper Series 2008-03, Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University, revised Oct 2008.
    9. Wenzel, Lars & Wolf, André, 2013. "Protection against major catastrophes: An economic perspective," HWWI Research Papers 137, Hamburg Institute of International Economics (HWWI).
    10. Michèle Cohen & Johanna Etner & Meglena Jeleva, 2008. "Dynamic Decision Making when Risk Perception Depends on Past Experience," Theory and Decision, Springer, vol. 64(2), pages 173-192, March.
    11. Ozlem Ozdemir & Andrea Morone, 2014. "An experimental investigation of insurance decisions in low probability and high loss risk situations," Journal of Economic Interaction and Coordination, Springer, vol. 9(1), pages 53-67, April.
    12. Brunette, Marielle & Couture, Stéphane, 2008. "Public compensation for windstorm damage reduces incentives for risk management investments," Forest Policy and Economics, Elsevier, vol. 10(7-8), pages 491-499, October.
    13. Erwann Michel-Kerjan & Paul Raschky & Howard Kunreuther, 2013. "Corporate Demand for Insurance: New Evidence from the U.S. Terrorism and Property Markets," NBER Working Papers 19532, National Bureau of Economic Research, Inc.
    14. Andrea Morone & Ozlem Ozdemir, 2006. "Valuing Protection against Low Probability, High Loss Risks: Experimental Evidence," Papers on Strategic Interaction 2006-34, Max Planck Institute of Economics, Strategic Interaction Group.
    15. M.A.P.M. van Asseldonk & H.B. van der Veen & H.A.B. van der Meulen, 2010. "Retirement planning by Dutch farmers: rationality or randomness?," Agricultural Finance Review, Emerald Group Publishing, vol. 70(3), pages 365-376, November.
    16. Ranyard, Rob & McHugh, Sandie, 2012. "Defusing the risk of borrowing: The psychology of payment protection insurance decisions," Journal of Economic Psychology, Elsevier, vol. 33(4), pages 738-748.
    17. Ogurtsov, Victor A. & Van Asseldonk, Marcel A.P.M. & Huirne, Ruud B.M., 2006. "Factors Explaining Farmers' Insurance Purchase in the Dutch Dairy Sector," 99th Seminar, February 8-10, 2006, Bonn, Germany 7774, European Association of Agricultural Economists.
    18. Andreas Friedl & Katharina Lima de Miranda & Ulrich Schmidt, 2014. "Insurance demand and social comparison: An experimental analysis," Journal of Risk and Uncertainty, Springer, vol. 48(2), pages 97-109, April.
    19. Botzen, W.J.W. & van den Bergh, J.C.J.M., 2012. "Risk attitudes to low-probability climate change risks: WTP for flood insurance," Journal of Economic Behavior & Organization, Elsevier, vol. 82(1), pages 151-166.
    20. John C. Whitehead, 2006. "Willingness to Pay for Low Probability, Low Loss Hazard Insurance," Working Papers 06-08, Department of Economics, Appalachian State University.
    21. Marielle Brunette & Stephane Couture, 2007. "Effects of Public Compensation for Disaster Damages on Private Insurance and Forest Management Decisions," Working Papers - Cahiers du LEF 2007-06, Laboratoire d'Economie Forestiere, AgroParisTech-INRA.

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