Structural estimation of farmers’ risk and ambiguity preferences: a field experiment

Abstract

The distinction between risk, where agents assign well-defined probabilities to possible outcomes, and ambiguity, where agents do not, has long been of particular interest. Using a carefully designed field experiment, we elicit information about risk and ambiguity preferences among 197 French farmers and structurally estimate these preferences. We use cumulative prospect theory and a multiple-prior model in order to model risk and ambiguity preferences, respectively. We find that farmers are risk, ambiguity and loss averse, and that probability distortion differs in gains vs. losses, as well as in risk vs. ambiguity. These findings can have important implications for policy design.

Reference

Douadia Bougherara, Xavier Gassmann, Laurent Piet, and Arnaud Reynaud, “Structural estimation of farmers’ risk and ambiguity preferences: a field experiment”, European Review of Agricultural Economics, July 2017, pp. 1–27.