2017
DOI: 10.1093/erae/jbx011
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Structural estimation of farmers’ risk and ambiguity preferences: a field experiment

Abstract: Ever since Ellsberg (1961), the distinction between risk, where agents assign well-defined probabilities to possible outcomes, and ambiguity, where agents do not, has 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… Show more

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Cited by 50 publications
(46 citation statements)
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“…The vast majority of these investigations used incentive compatible and incentivized elicitation techniques and are conducted in developing countries. The MPL (e.g., Bougherara, Gassmann, Piet, & Reynaud, 2017) and CE MPL (e.g., Barham et al, 2014) were widely used. However, there are no studies attempting to use contextual framing to elicit farmers' attitudes toward ambiguity and uncertainty.…”
Section: Eliciting Ambiguity and Uncertainty Preferencesmentioning
confidence: 99%
“…The vast majority of these investigations used incentive compatible and incentivized elicitation techniques and are conducted in developing countries. The MPL (e.g., Bougherara, Gassmann, Piet, & Reynaud, 2017) and CE MPL (e.g., Barham et al, 2014) were widely used. However, there are no studies attempting to use contextual framing to elicit farmers' attitudes toward ambiguity and uncertainty.…”
Section: Eliciting Ambiguity and Uncertainty Preferencesmentioning
confidence: 99%
“…Participants were instructed that real payouts are reconverted by the factor of one thousand. Furthermore we reduce complexity and consequential inconsistent behavior by including a pie chart displaying proportions next to the verbal presentation of decisions as a visual aid (Bougherara, Gassmann, & Piet, 2011;Reynaud & Couture, 2012) (an example of the visual presentation as well as full instructions are found in Figure A1 in the Appendix). To incentivize the MPL we follow Maart-Noelck and Musshoff (2014) and informed farmers that at the end of the survey period 10% of all participants are selected for real payouts based on their choices 6 .…”
Section: Contextualized Multiple Price List (Mpl)mentioning
confidence: 99%
“…However, we cannot empirically test for such phenomena, as we have not implemented losses in our multiple price lists. For instance, Babcock (2015) shows that cumulative prospect theory can adequately explain violations of expected utility theory in farmers' purchase of insurance, and there is an emerging experimental literature that investigates farmers' loss aversion (Bocqu eho et al, 2013;Bougherara et al, 2017;Bauermeister et al, 2018). List (2004) has argued that inexperienced traders' behaviour is best described by prospect theory; whereas experienced traders' behaviour is sufficiently described by expected utility theory.…”
Section: Discussionmentioning
confidence: 99%