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On the role of probability weighting on WTP for crop insurance with and without yield skewness

Author

Listed:
  • Douadia Bougherara

    (CEE-M - Centre d'Economie de l'Environnement - Montpellier - FRE2010 - INRA - Institut National de la Recherche Agronomique - UM - Université de Montpellier - CNRS - Centre National de la Recherche Scientifique - Montpellier SupAgro - Institut national d’études supérieures agronomiques de Montpellier)

  • Laurent Piet

    (SMART-LERECO - Structures et Marché Agricoles, Ressources et Territoires - INRA - Institut National de la Recherche Agronomique - AGROCAMPUS OUEST)

Abstract

A growing number of studies in finance and economics seek to explain insurance choices using the assumptions advanced by behavioral economics. One recent example in agricultural economics is the use of cumulative prospect theory (CPT) to explain farmer choices regarding crop insurance coverage levels (Babcock, 2015). We build upon this framework by deriving willingness to pay (WTP) for insurance programs under alternative assumptions, thus extending the model to incorporate farmer decisions regarding whether or not to purchase insurance. Our contribution is twofold. First, we study the sensitivity of farmer WTP for crop insurance to the inclusion of CPT parameters. We find that loss aversion and probability distortion increase WTP for insurance while risk aversion decreases it. Probability distortion in losses plays a particularly important role. Second, we study the impact of yield distribution skewness on farmer WTP assuming CPT preferences. We find that WTP decreases when the distribution of yields moves from negatively- to positively-skewed and that the combined effect of probability weighting in losses and skewness has a large negative impact on farmer WTP for crop insurance.

Suggested Citation

  • Douadia Bougherara & Laurent Piet, 2018. "On the role of probability weighting on WTP for crop insurance with and without yield skewness," Working Papers hal-02790605, HAL.
    • Handle: RePEc:hal:wpaper:hal-02790605
    Note: View the original document on HAL open archive server: https://hal.inrae.fr/hal-02790605v1
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    Cited by:

    1. Bougherara Douadia & Ropars-Collet Carole & Saint-Gilles Jude, 2022. "Impact of Private Labels and Information Campaigns on Organic and Fair Trade Food Demand," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 20(1), pages 39-59, May.
    2. Hongli Feng & Xiaodong Du & David A. Hennessy, 2020. "Depressed demand for crop insurance contracts, and a rationale based on third generation Prospect Theory," Agricultural Economics, International Association of Agricultural Economists, vol. 51(1), pages 59-73, January.

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    Keywords

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    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • Q10 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - General
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy

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