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Meta-Analysis of Empirical Estimates of Loss-Aversion

Author

Listed:
  • Brown, Alexander L.

    (Texas A&M University)

  • Imai, Taisuke

    (LMU Munich)

  • Vieider, Ferdinand M.

    (Ghent University)

  • Camerer, Colin F.

    (California Institute of Technology)

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.

Suggested Citation

  • Brown, Alexander L. & Imai, Taisuke & Vieider, Ferdinand M. & Camerer, Colin F., 2021. "Meta-Analysis of Empirical Estimates of Loss-Aversion," Rationality and Competition Discussion Paper Series 275, CRC TRR 190 Rationality and Competition.
    • Handle: RePEc:rco:dpaper:275
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    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General
    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General

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