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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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    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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