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Measuring Inequality

dc.contributor.authorJasso, Guillerminaen_US
dc.date.accessioned2010-04-14T13:33:13Z
dc.date.available2010-04-14T13:33:13Z
dc.date.issued1982en_US
dc.identifier.citationJASSO, GUILLERMINA (1982). "Measuring Inequality." Sociological Methods & Research 3(10): 303-326. <http://hdl.handle.net/2027.42/68340>en_US
dc.identifier.issn0049-1241en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/68340
dc.description.abstractSince unambiguous ranking of income distributions according to their degree of inequality is not always possible, choice of inequality measure must rest on the appropriateness of particular measures for particular substantive problems. This article provides a complete account of one measure of inequality, δ, defined, for x > 0, as the ratio of the geometric mean to the arithmetic mean—a measure that is closely linked to the sense of distributive justice. Its properties are summarized, and formulas reported for the effects of transfers and of location changes. Analytic expressions for δ for three classical probability distributions—the Pareto, Lognormal, and Rectangular families—are provided, and δ's behavior in within-family comparisons discussed. The measure δ's behavior in between-family comparisons is explored using a new procedure for bounding the zones of ambiguity in inequality comparisons. Finally, a newly obtained decomposition formula for δ is reported.en_US
dc.format.extent3108 bytes
dc.format.extent1571892 bytes
dc.format.mimetypetext/plain
dc.format.mimetypeapplication/pdf
dc.publisherSAGE PUBLICATIONSen_US
dc.titleMeasuring Inequalityen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelSociologyen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumUniversity of Michiganen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/68340/2/10.1177_0049124182010003004.pdf
dc.identifier.doi10.1177/0049124182010003004en_US
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dc.owningcollnameInterdisciplinary and Peer-Reviewed


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