Meta-analysis of empirical estimates of loss aversion
By: Brown, Alexander L. et al
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Material type: 
BookPublisher: Journal of Economic Literature Description: 62(2), Jun, 2024: p.485-516.Subject(s): Loss Aversion, Behavioral Economics, Meta-Analysis, Empirical Estimates, Loss Aversion Coefficient, Interdisciplinary Research, Study Design Characteristics, Economics, Psychology, Neuroscience, Risk Preferences, Decision-Making Under Uncertainty
In:
Journal of Economic LiteratureSummary: 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.- Reproduced
https://www.aeaweb.org/articles?id=10.1257/jel.20221698
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Articles
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Indian Institute of Public Administration | 62(2), Jun, 2024: p.485-516 | Available | AR132895 |
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.- Reproduced
https://www.aeaweb.org/articles?id=10.1257/jel.20221698
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