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dc.contributor.authorDagsvik, John K.
dc.coverage.spatialNorwaynb_NO
dc.date.accessioned2019-11-13T08:54:31Z
dc.date.available2019-11-13T08:54:31Z
dc.date.issued2012-10
dc.identifier.issn0809-733X
dc.identifier.urihttp://hdl.handle.net/11250/2628064
dc.description.abstractAmartya Sen has developed the so-called capability approach to meet the criticism that income alone may be insufficient as a measure of economic inequality. This is because knowledge about people’s income does not tell us what they are able to acquire with that income. For example, people with the same income may not have the same access to health and transportation services, schools and opportunities in the labor market. Recently, there has been growing interest in empirical studies based on the capability approach. Most of these, however, are only loosely related to quantitative behavioral theory, at least in a concrete and empirically operational way. The purpose of this paper is to demonstrate that the theory of random scale (utility) models (RSM) offers a powerful theoretical and empirical framework for representing and accounting for key aspects of Sen’s theory.nb_NO
dc.description.sponsorshipDepartment of Economics, Faculty of Political Sciences, University of Turinnb_NO
dc.language.isoengnb_NO
dc.publisherStatistisk sentralbyrånb_NO
dc.relation.ispartofseriesDiscussion papers;710
dc.subjectJEL classification: C25nb_NO
dc.subjectJEL classification: C35nb_NO
dc.subjectJEL classification: D31nb_NO
dc.subjectJEL classification: D63nb_NO
dc.titleMaking Sen’s capability approach operational. A random scale frameworknb_NO
dc.typeWorking papernb_NO
dc.description.versionpublishedVersionnb_NO
dc.subject.nsiVDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Statistikk: 412nb_NO
dc.source.pagenumber38nb_NO


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