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dc.contributor.authorAlmås, Ingvild
dc.contributor.authorHavnes, Tarjei
dc.contributor.authorMogstad, Magne
dc.date.accessioned2014-12-17T11:38:04Z
dc.date.accessioned2015-01-30T11:06:20Z
dc.date.available2014-12-17T11:38:04Z
dc.date.available2015-01-30T11:06:20Z
dc.date.issued2012
dc.identifier.citationStata Journal 2012, 12(3):393-405nb_NO
dc.identifier.issn1536-867X
dc.identifier.urihttp://hdl.handle.net/11250/275104
dc.descriptionWith permission from publisher - StataCorp http://www.stata-journal.com/nb_NO
dc.description.abstractIncome and wealth differ over the life cycle. In cross-sectional distri- butions of income or wealth, classical inequality measures such as the Gini, could therefore find substantial inequality even if everyone have the same life-time in- come or wealth. We describe the AG index (Almås and Mogstad, 2011) which is a generalization of the classical Gini index with attractive properties, and we provide the adgini command which provides the AG index as well as the classical Gini index. The adgini command provides options to produce other well known age-adjusted inequality measures, such as the Paglin-Gini (Paglin, 1975) and the Wertz-Gini (Wertz, 1977), and provides efficient estimation of the classical Gini coefficient.nb_NO
dc.language.isoengnb_NO
dc.publisherStataCorpnb_NO
dc.subjectadgininb_NO
dc.subjectinequalitynb_NO
dc.subjectlife cyclenb_NO
dc.subjectage-adjustmentsnb_NO
dc.subjectgini coefficientnb_NO
dc.titleAdjusting for age effects in cross-sectional distributionsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.date.updated2014-12-17T11:38:04Z
dc.source.pagenumber393-405nb_NO
dc.source.volume12nb_NO
dc.source.journalStata Journalnb_NO
dc.source.issue3nb_NO
dc.identifier.cristin944397


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