Arbeitspapier
Looming Large or Seeming Small? Attitudes Towards Losses in a Representative Sample
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, with many participants accepting negative-expected-value gambles. This is counter to earlier findings−which mostly come from lab/student samples−and expert predictions that 70-90% of participants are loss averse. Consistent with the difference between our study and the prior literature, loss aversion is more prevalent in people with high cognitive ability. Loss-tolerant individuals are more likely to report recent gambling and to have experienced financial shocks. These results support the general hypothesis that individuals value gains and losses differently, although the tendency in a large proportion of the population to emphasize gains over losses is an overlooked behavioral phenomenon.
- Language
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Englisch
- Bibliographic citation
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Series: CESifo Working Paper ; No. 9820
- Classification
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Wirtschaft
Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
Design of Experiments: General
Criteria for Decision-Making under Risk and Uncertainty
Micro-Based Behavioral Economics: General‡
- Subject
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loss aversion
DOSE
risk preferences
cognitive ability
negative shocks
gambling
- Event
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Geistige Schöpfung
- (who)
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Chapman, Jonathan
Snowberg, Erik
Wang, Stephanie
Camerer, Colin
- Event
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Veröffentlichung
- (who)
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Center for Economic Studies and ifo Institute (CESifo)
- (where)
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Munich
- (when)
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2022
- Handle
- Last update
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10.03.2025, 11:42 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Chapman, Jonathan
- Snowberg, Erik
- Wang, Stephanie
- Camerer, Colin
- Center for Economic Studies and ifo Institute (CESifo)
Time of origin
- 2022