Bounds of the Gini Index Using Sparse Information on Mean Incomes
AbstractIn this paper, bounds of the Gini index, based on grouped data, are proposed assuming sparse information on mean incomes in the sense that data on either the overall mean income or some of the group mean incomes are not reported. It turns out that the proposed bounds are identical to those proposed by other authors that have more stringent information requirements with respect to mean incomes. Copyright 2003 by the International Association for Research in Income and Wealth.
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Bibliographic InfoArticle provided by International Association for Research in Income and Wealth in its journal Review of Income and Wealth.
Volume (Year): 49 (2003)
Issue (Month): 3 (09)
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Web page: http://www.blackwellpublishing.com/journal.asp?ref=0034-6586
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- Philip Clarke & Tom Van Ourti, 2009. "Correcting the Bias in the Concentration Index when Income is Grouped," CEPR Discussion Papers 599, Centre for Economic Policy Research, Research School of Economics, Australian National University.
- Tom Van Ourti & Philip Clarke, 2008. "The Bias of the Gini Coefficient due to Grouping," Tinbergen Institute Discussion Papers 08-095/3, Tinbergen Institute.
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