Meta-Analysis of Empirical Estimates of Loss-Aversion

Alexander Brown, Taisuke Imai, Ferdinand Vieider () and Colin Camerer ()
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Taisuke Imai: California Institute of Technology

No hnefr, MetaArXiv from Center for Open Science

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 during the past couple of decades. 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 between 1.8 and 2.1. We also document how reported estimates vary depending on the observable characteristics of the study design.

Date: 2020-12-22
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Related works:
Journal Article: Meta-analysis of Empirical Estimates of Loss Aversion (2024)
Working Paper: Meta-Analysis of Empirical Estimates of Loss-Aversion (2021)
Working Paper: Meta-Analysis of Empirical Estimates of Loss-Aversion (2021)
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Persistent link: https://EconPapers.repec.org/RePEc:osf:metaar:hnefr

DOI: 10.31219/osf.io/hnefr

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