Estimating Risk Preferences in the Field

Levon Barseghyan, Francesca Molinari, Ted O'Donoghue and Joshua Teitelbaum

Journal of Economic Literature, 2018, vol. 56, issue 2, 501-64

Abstract: We survey the literature on estimating risk preferences using field data. We concentrate our attention on studies in which risk preferences are the focal object and estimating their structure is the core enterprise. We review a number of models of risk preferences—including both expected utility (EU) theory and non-EU models—that have been estimated using field data, and we highlight issues related to identification and estimation of such models using field data. We then survey the literature, giving separate treatment to research that uses individual-level data (e.g., property-insurance data) and research that uses aggregate data (e.g., betting-market data). We conclude by discussing directions for future research.

JEL-codes: C51 D11 D81 D82 D83 G22 I13 (search for similar items in EconPapers)
Date: 2018
Note: DOI: 10.1257/jel.20161148
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Citations: View citations in EconPapers (39)

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