Resolving inconsistencies in utility measurement under risk: Tests of generalizations of expected utility
AbstractThis paper explores biases in the elicitation of utilities under risk and the contribution that generalizations of expected utility can make to the resolution of these biases. We used five methods to measure utilities under risk and found clear violations of expected utility. Of the theories studies, prospect theory was most consistent with our data. The main improvement of prospect theory over expected utility was in comparisons between a riskless and a risky prospect(riskless-risk methods). We observed no improvement over expected utility in comparisons between two risky prospects (risk-risk methods). An explanation why we found no improvement of prospect theory over expected utility in risk-risk methods may be that there was less overweighting of small probabilities in our study than has commonly been observed.
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Bibliographic InfoPaper provided by Department of Economics and Business, Universitat Pompeu Fabra in its series Economics Working Papers with number 798.
Date of creation: Jan 2005
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Web page: http://www.econ.upf.edu/
Utility Measurement; Nonexpected Utility; Prospect Theory; Health.; Leex;
Other versions of this item:
- Han Bleichrodt & Jose Maria Abellan-Perpiñan & Jose Luis Pinto-Prades & Ildefonso Mendez-Martinez, 2007. "Resolving Inconsistencies in Utility Measurement Under Risk: Tests of Generalizations of Expected Utility," Management Science, INFORMS, vol. 53(3), pages 469-482, March.
- Han Bleichrodt & Jose María Abellán Perpiñán & Jose Luis Pinto-Prades & Ildefonso Méndez-Martínez, 2006. "Resolving Inconsistencies in Utility Measurement under Risk: Tests of Generalizations of Expected Utility," Working Papers 06.19, Universidad Pablo de Olavide, Department of Economics.
- D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
- I10 - Health, Education, and Welfare - - Health - - - General
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