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Published September 16, 2024 | Corrected proof
Journal Article Open

Looming Large or Seeming Small? Attitudes Towards Losses in a Representative Sample

  • 1. ROR icon University of Bologna
  • 2. University of Utah, University of British Columbia, NBER and CESifo
  • 3. ROR icon University of Pittsburgh
  • 4. ROR icon California Institute of Technology

Abstract

We measure individual-level loss aversion using three incentivized, representative surveys of the U.S. population (combined N=3,000⁠). We find that around 50% of the U.S. population is loss tolerant—they are willing to accept negative-expected-value gambles that contain a loss. This is counter to expert predictions and earlier findings—which mostly come from laboratory/student samples—that 70–90% of participants are loss averse. Consistent with the different findings in our study versus the prior literature, loss aversion is more prevalent in people with high cognitive ability. Further, our measure of gain–loss attitudes exhibits similar temporal stability and better predictive power outside our survey than measures of risk aversion. Loss-tolerant individuals are more likely to report recent gambling, investing a higher percentage of their assets in stocks, and experiencing financial shocks. These results support the general hypothesis that individuals value gains and losses differently, and that gain–loss attitudes are an important economic preference. However, the tendency in a large proportion of the population to emphasize gains over losses is an overlooked behavioural phenomenon.

Copyright and License

© The Author(s) 2024. Published by Oxford University Press on behalf of The Review of Economic Studies Limited. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence

Acknowledgement

This paper was previously circulated as “Loss Attitudes in the U.S. Population: Evidence from DOSE.” We thank Nick Barberis, Roland Benabou, Doug Bernheim, Han Bleichrodt, John Beshears, Alex Brown, Gary Charness, Mark Dean, Florian Ederer, Lorenz Goette, Ori Heffetz, Kate Johnson, Ian Krajbich, Andreas Krause, Ted O’Donoghue, Sebastian Olschewski, Pietro Ortoleva, Friederike Mengel, Elise Payzan-LeNestour, Deb Ray, Antonio Rangel, Alex Rees-Jones, Charlie Sprenger, Hans-Martin von Gaudecker, Peter Wakker, Nathaniel Wilcox, Leeat Yariv, Horst Zank, and the participants of seminars and conferences for their useful comments and suggestions. Judah Okwuobi and Michelle Filiba provided excellent research assistance. Snowberg and Camerer gratefully acknowledge the financial support of NSF Grant SMA-1329195.

Data Availability

The data underlying this article are publicly available on Zenodo at https://doi.org/10.5281/zenodo.11100753.

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Additional details

Created:
November 19, 2024
Modified:
November 19, 2024