Income Inequality Measures

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dc.contributor.authorFellman, Johan
dc.date.accessioned2018-07-11T07:14:31Z
dc.date.available2018-07-11T07:14:31Z
dc.date.issued2018-02
dc.description.abstractIncome distributions are commonly unimodal and skew with a heavy right tail. Different skew models, such as the lognormal and the Pareto, have been proposed as suitable descriptions of income distribution and applied in specific empirical situations. More wide-ranging tools have been introduced as measures for general comparisons. In this study, we review the income analysis methods and apply them to specific Lorenz models.en_US
dc.identifier.citationTheoretical Economics Letters, 2018, 8, 557-574en_US
dc.identifier.issn2162-2086
dc.identifier.urihttps://doi.org/10.4236/tel.2018.83039
dc.identifier.urihttp://hdl.handle.net/123456789/1785
dc.language.isoenen_US
dc.publisherScientific Researchen_US
dc.subjectLorenz Curveen_US
dc.subjectGini Indexen_US
dc.subjectPietra Indexen_US
dc.subjectPareto Distributionen_US
dc.subjectSimplified Rao-Tam Distributionen_US
dc.subjectChotikapanich Distributionen_US
dc.titleIncome Inequality Measuresen_US
dc.typeArticleen_US
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