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Assurance, intervention publique et ambiguïté : une étude expérimentale auprès de propriétaires forestiers privés

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  • Marielle Brunette
  • Laure Cabantous
  • Stéphane Couture
  • Anne Stenger

Abstract

This article examines the effect of public compensation programs on the insurance behavior of private forest owners. Weanalyze the impact of three types of public programs currently used in some European countries : flat-rate aid, contingentflat-rate aid, and insurance subsidy. We also analyze the impact of ambiguity concerning the probability of risk occurrenceon insurance demand. We begin by formulating theoretical predictions about the effects of public programs andambiguity on insurance demand. We then test these predictions on forest owners. The results of our experiment confirmour predictions. Flat-rate aid and insurance subsidies do indeed reduce forest owners? insurance demand. Contingentflat-rate aid generates a smaller reduction in insurance demand than non-contingent flat-rate aid. Forest owners are alsomore willing to pay for insurance in an ambiguous context than in a risky one. This finding confirms our prediction thatforest owners are ambiguity-averse.

Suggested Citation

  • Marielle Brunette & Laure Cabantous & Stéphane Couture & Anne Stenger, 2009. "Assurance, intervention publique et ambiguïté : une étude expérimentale auprès de propriétaires forestiers privés," Economie & Prévision, La Documentation Française, vol. 0(4), pages 123-134.
  • Handle: RePEc:cai:ecoldc:ecop_190_0123
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    1. Sujoy Chakravarty & Jaideep Roy, 2009. "Recursive expected utility and the separation of attitudes towards risk and ambiguity: an experimental study," Theory and Decision, Springer, vol. 66(3), pages 199-228, March.
    2. Ghirardato, Paolo & Marinacci, Massimo, 2002. "Ambiguity Made Precise: A Comparative Foundation," Journal of Economic Theory, Elsevier, vol. 102(2), pages 251-289, February.
    3. Chambers, Robert G. & Melkonyan, Tigran A., 2007. "AJAE Appendix: Pareto Optimal Trade in an Uncertain World: GMOs and the Precautionary Principle," American Journal of Agricultural Economics APPENDICES, Agricultural and Applied Economics Association, vol. 89(2), pages 1-5, May.
    4. Robert G. Chambers & Tigran A. Melkonyan, 2007. "Pareto Optimal Trade in an Uncertain World: GMOs and the Precautionary Principle," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(2), pages 520-532.
    5. 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.
    6. Gilboa, Itzhak & Schmeidler, David, 1989. "Maxmin expected utility with non-unique prior," Journal of Mathematical Economics, Elsevier, vol. 18(2), pages 141-153, April.
    7. Camerer, Colin & Weber, Martin, 1992. "Recent Developments in Modeling Preferences: Uncertainty and Ambiguity," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 325-370, October.
    8. 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.
    9. Howard Kunreuther & Mark Pauly, 2006. "Rules rather than discretion: Lessons from Hurricane Katrina," Journal of Risk and Uncertainty, Springer, vol. 33(1), pages 101-116, September.
    10. Howard Kunreuther & Mark Pauly, 2006. "Rules Rather Than Discretion: Lessons from Hurricane Katrina," NBER Working Papers 12503, National Bureau of Economic Research, Inc.
    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. Einhorn, Hillel J & Hogarth, Robin M, 1986. "Decision Making under Ambiguity," The Journal of Business, University of Chicago Press, vol. 59(4), pages 225-250, October.
    13. Yoram Halevy, 2007. "Ellsberg Revisited: An Experimental Study," Econometrica, Econometric Society, vol. 75(2), pages 503-536, March.
    14. Kaplow, Louis, 1991. "Incentives and Government Relief for Risk," Journal of Risk and Uncertainty, Springer, vol. 4(2), pages 167-175, April.
    15. W. Viscusi & Harrell Chesson, 1999. "Hopes and Fears: the Conflicting Effects of Risk Ambiguity," Theory and Decision, Springer, vol. 47(2), pages 157-184, October.
    16. Lewis, Tracy & Nickerson, David, 1989. "Self-insurance against natural disasters," Journal of Environmental Economics and Management, Elsevier, vol. 16(3), pages 209-223, May.
    17. Laure Cabantous, 2007. "Ambiguity Aversion in the Field of Insurance: Insurers’ Attitude to Imprecise and Conflicting Probability Estimates," Theory and Decision, Springer, vol. 62(3), pages 219-240, May.
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    Cited by:

    1. Guibril Zerbo, 2024. "Disposition à payer pour l’assurance contre les risques naturels: une étude de terrain au Burkina Faso," EconomiX Working Papers 2024-7, University of Paris Nanterre, EconomiX.
    2. Marielle Brunette, 2011. "Une application du Processus de Décision de Markov au secteur forestier : risque de production, de prix et perte de qualité," Post-Print hal-01000606, HAL.
    3. Marielle Brunette & Marc Hanewinkel, 2021. "Assurance financière et assurance naturelle : une application à la forêt," Working Papers of BETA 2021-28, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    4. Marielle Brunette & Stéphane Couture & Serge S. Garcia, 2011. "Determinants of insurance demand against forest fire risk: Evidence from experimental and real world data," Post-Print hal-01191123, HAL.

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