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Who are the loss-averse farmers? Experimental evidence from structurally estimated risk preferences

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  • Isabelle Bonjean

Abstract

Even though recognised to be of increasing importance, robust estimations of European farmers’ risk preferences are still scarce. Using an incentivised lab-in-the-field experiment with farmers, free of learning bias, this paper analyses the structurally derived parameters of risk preferences based on the cumulative prospect theory. The sector studied is the apple and pear sector in Flanders, Belgium. Farmers are found to be highly risk-averse and to distort probabilities by overweighting a small probability of desirable outcomes. However, there is no evidence of loss aversion on average, unlike previous studies. Moreover, investigating the heterogeneous effects shows that some farmers significantly differ from the representative agent by still being extremely loss-averse. The results of this piece of research prove the need to consider heterogeneity within and across sectors when assessing farmers’ risk preferences.

Suggested Citation

  • Isabelle Bonjean, 2023. "Who are the loss-averse farmers? Experimental evidence from structurally estimated risk preferences," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 50(2), pages 421-456.
    • Handle: RePEc:oup:erevae:v:50:y:2023:i:2:p:421-456.
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    File URL: http://hdl.handle.net/10.1093/erae/jbac020
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    Cited by:

    1. Henning Schaak & Jens Rommel & Julian Sagebiel & Jesus Barreiro-Hurlé & Douadia Bougherara & Luigi Cembalo & Marija Cerjak & Tajana Čop & Mikołaj Czajkowski & María Espinosa-Goded & Julia Höhler & Car, 2024. "Who Can Predict Farmers' Choices in Risky Gambles?," Post-Print hal-04677299, HAL.
    2. Robert Finger & Viviana Garcia & Chloe McCallum & Jens Rommel, 2024. "A note on European farmers' preferences under cumulative prospect theory," Journal of Agricultural Economics, Wiley Blackwell, vol. 75(1), pages 465-472, February.

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