Meta-analysis of Empirical Estimates of Loss Aversion

Alexander Brown, Taisuke Imai, Ferdinand M. Vieider and Colin Camerer ()

Journal of Economic Literature, 2024, vol. 62, issue 2, 485-516

Abstract: Loss aversion is one of the most widely used concepts in behavioral economics. We conduct a large-scale, interdisciplinary meta-analysis to systematically accumulate knowledge from numerous empirical estimates of the loss aversion coefficient reported from 1992 to 2017. We examine 607 empirical estimates of loss aversion from 150 articles in economics, psychology, neuroscience, and several other disciplines. Our analysis indicates that the mean loss aversion coefficient is 1.955 with a 95 percent probability that the true value falls in the interval [1.820, 2.102]. We record several observable characteristics of the study designs. Few characteristics are substantially correlated with differences in the mean estimates.

JEL-codes: D81 D91 (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (6)

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Related works:
Working Paper: Meta-Analysis of Empirical Estimates of Loss-Aversion (2021)
Working Paper: Meta-Analysis of Empirical Estimates of Loss-Aversion (2021)
Working Paper: Meta-Analysis of Empirical Estimates of Loss-Aversion (2020)
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DOI: 10.1257/jel.20221698

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