Publication:
Resolving inconsistencies in utility measurement under risk: test of generalizations of expected utilities

dc.contributor.authorBleichrodt, Han
dc.contributor.authorAbellán Perpiñán, José María
dc.contributor.authorPinto Prades, José Luis
dc.contributor.authorMéndez Martínez, Ildefonso
dc.contributor.departmentEconomía Aplicada
dc.date.accessioned2024-12-02T09:11:07Z
dc.date.available2024-12-02T09:11:07Z
dc.date.issued2007-03-01
dc.description© 2007 INFORMS. This document is the Published version of a Published Work that appeared in final form in Management Science. To access the final edited and published work see https://doi.org/10.1287/mnsc.1060.0647
dc.description.abstractThis paper explores inconsistencies that occur in utility measurement under risk when expected utility theory is assumed and the contribution that prospect theory and some other generalizations of expected utility can make to the resolution of these inconsistencies. We used five methods to measure utilities under risk and found clear violations of expected utility. Of the theories studied, prospect theory was the 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 for the latter observation may be that there was less distortion in probability weighting in the interval [0.10, 0.20] than has commonly been observed.
dc.formatapplication/pdfes
dc.format.extent15
dc.identifier.citationManagement Science, 2007, Vol. 53, N. 3, pp. 469-482
dc.identifier.doihttps://doi.org/10.1287/mnsc.1060.0647
dc.identifier.issnPrint: 0025-1909
dc.identifier.issnElectronic: 1526-5501
dc.identifier.urihttp://hdl.handle.net/10201/146985
dc.languageenges
dc.publisherInstitute for Operations Research and Management Sciences
dc.relationThe first author's research was made possible by a VIDI grant from the Netherlands Organization for Scientific Research (NWO). The second author acknowledges financia! support from Fundacion Ramon Areces and from Fundacion BBVA. The fourth author acknowledges financia! support from Funda­ cion BBVA.es
dc.relation.publisherversionhttps://pubsonline.informs.org/doi/10.1287/mnsc.1060.0647
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectUtility measurement
dc.subjectNonexpected utility
dc.subjectProspect theory
dc.subjectHealth
dc.titleResolving inconsistencies in utility measurement under risk: test of generalizations of expected utilitieses
dc.typeinfo:eu-repo/semantics/articlees
dspace.entity.typePublicationes
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