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A simple way to calculate the Gini Coefficient for grouped as well as ungrouped data

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Author Info
Esmaiel Abounoori
Patrick McCloughan

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Abstract

Numerous methods have been proposed for calculating the Gini coefficient, the most widely used statistical measure of income inequality. The Milanovic ( Bulletin of Economic Research , 46 , 81-90, 1994) measure is simple, accurate and has attractive decomposition properties. However its use is confined to ungrouped data. This paper derives and applies the analogue of the Milanovic 94 measure for the case of grouped data. Both the grouped and ungrouped formulae offer a useful toolkit for inequality measurement.

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Publisher Info
Article provided by Taylor and Francis Journals in its journal Applied Economics Letters.

Volume (Year): 10 (2003)
Issue (Month): 8 (June)
Pages: 505-509
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Handle: RePEc:taf:apeclt:v:10:y:2003:i:8:p:505-509

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  1. Bhattacharya, Haimanti & Innes, Robert, 2006. "Is There a Nexus between Poverty and Environment in Rural India?," 2006 Annual meeting, July 23-26, Long Beach, CA 21201, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association). [Downloadable!]
  2. Ville, Simon & Valadkhani, Abbas & O'Brien, Martin, 2005. "The Distribution of Research Performance Across Australian Universities, 1992-2003, and Its Implications for Higher Education Funding Models," Economics Working Papers wp05-26, School of Economics, University of Wollongong, NSW, Australia. [Downloadable!]
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