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dc.contributor.authorHERRERO, Carmen
dc.contributor.authorVILLAR, Antonio
dc.date.accessioned2014-04-24T14:22:12Z
dc.date.available2014-04-24T14:22:12Z
dc.date.issued2014
dc.identifier.issn1725-6704
dc.identifier.urihttps://hdl.handle.net/1814/31223
dc.description.abstractThis paper refers to the ranking of densities that describe the distribution of an attribute in a given set of populations. The key elements of the problem are: (i) The distributions refer to ordered categorical data (e.g. health statuses, educational achievements, prestige positions, satisfaction levels); (ii) The evaluation of each distribution is relative to the others with which it is compared. We propose an evaluation method that is cardinal, complete and transitive, which based on the consistent application of the "willingness to pay" principle and the likelihood of getting better results when making a random extraction. A characterization of this method, in terms of simple properties, is provided.en
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.relation.ispartofseriesEUI ECOen
dc.relation.ispartofseries2014/06en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectRanking distributionsen
dc.subjectCategorical variablesen
dc.subjectWillingness to payen
dc.subjectWorthen
dc.titleRanking distributions of monotone attributesen
dc.typeWorking Paperen
eui.subscribe.skiptrue


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