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Expected utility or prospect theory maximisers? Assessing farmers' risk behaviour from field-experiment data

Author

Listed:
  • Géraldine Bocquého

    (ECO-PUB - Economie Publique - INRA - Institut National de la Recherche Agronomique - AgroParisTech)

  • Florence F. Jacquet

    (UMR MOISA - Marchés, Organisations, Institutions et Stratégies d'Acteurs - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - INRA - Institut National de la Recherche Agronomique - Montpellier SupAgro - Centre international d'études supérieures en sciences agronomiques - CIHEAM-IAMM - Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier - CIHEAM - Centre International de Hautes Études Agronomiques Méditerranéennes - Montpellier SupAgro - Institut national d’études supérieures agronomiques de Montpellier)

  • Arnaud A. Reynaud

    (LERNA - Economie des Ressources Naturelles - UT Capitole - Université Toulouse Capitole - Comue de Toulouse - Communauté d'universités et établissements de Toulouse - INRA - Institut National de la Recherche Agronomique - CEA - Commissariat à l'énergie atomique et aux énergies alternatives)

Abstract

We elicit the risk preferences of a sample of French farmers in a field-experiment setting, considering both expected utility and cumulative prospect theory. Under the EU framework, our results show that farmers are characterised by a concave utility function for gain outcomes implying risk aversion. The CPT framework confirms this result, but also suggests that farmers are twice as sensitive to losses as to gains and tend to pay undue attention to unlikely extreme outcomes. Accounting for loss aversion and probability weighting can make a difference in the design of effective and efficient policies, contracts or insurance schemes.

Suggested Citation

  • Géraldine Bocquého & Florence F. Jacquet & Arnaud A. Reynaud, 2014. "Expected utility or prospect theory maximisers? Assessing farmers' risk behaviour from field-experiment data," Post-Print hal-01000072, HAL.
  • Handle: RePEc:hal:journl:hal-01000072
    DOI: 10.1093/erae/jbt006
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