Title |
Acceptable losses: the debatable origins of loss aversion
|
---|---|
Published in |
Psychological Research, April 2018
|
DOI | 10.1007/s00426-018-1013-8 |
Pubmed ID | |
Authors |
Eldad Yechiam |
Abstract |
It is often claimed that negative events carry a larger weight than positive events. Loss aversion is the manifestation of this argument in monetary outcomes. In this review, we examine early studies of the utility function of gains and losses, and in particular the original evidence for loss aversion reported by Kahneman and Tversky (Econometrica 47:263-291, 1979). We suggest that loss aversion proponents have over-interpreted these findings. Specifically, the early studies of utility functions have shown that while very large losses are overweighted, smaller losses are often not. In addition, the findings of some of these studies have been systematically misrepresented to reflect loss aversion, though they did not find it. These findings shed light both on the inability of modern studies to reproduce loss aversion as well as a second literature arguing strongly for it. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 56 | 18% |
United Kingdom | 26 | 8% |
Australia | 11 | 4% |
Canada | 10 | 3% |
Germany | 10 | 3% |
India | 9 | 3% |
France | 7 | 2% |
Sweden | 6 | 2% |
Netherlands | 6 | 2% |
Other | 41 | 13% |
Unknown | 128 | 41% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 243 | 78% |
Scientists | 50 | 16% |
Science communicators (journalists, bloggers, editors) | 9 | 3% |
Practitioners (doctors, other healthcare professionals) | 8 | 3% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 172 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 39 | 23% |
Student > Master | 26 | 15% |
Researcher | 25 | 15% |
Student > Bachelor | 15 | 9% |
Professor | 7 | 4% |
Other | 22 | 13% |
Unknown | 38 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 49 | 28% |
Economics, Econometrics and Finance | 20 | 12% |
Social Sciences | 14 | 8% |
Decision Sciences | 11 | 6% |
Business, Management and Accounting | 9 | 5% |
Other | 30 | 17% |
Unknown | 39 | 23% |