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Multidimensional Inequality Measurement: a Proposal

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Author Info
List, C.

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Abstract

Two essential intuitions about the concept of multidimensional inequality have been highlighted in the emerging body of literature on this subject: first, multidimensional inequality should be a function of the uniform inequality of a multivariate distribution of goods or attributes across people (Kolm, 1977); and second, it should also be a function of the cross-correlation between distributions of goods or attributes in different dimensions (Atkinson and Bourguignon, 1982; Walzer, 1983). The present paper proposes a general method of designing a wider range of multidimensional inequality indices that also respect both intuitions, and illustrates this method by defining two classes of such indices: a generalization of the Gini coefficient, and a generalization of Atkinson ; s one-dimensional measure of inequality.

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Publisher Info
Paper provided by Economics Group, Nuffield College, University of Oxford in its series Economics Papers with number 9927.

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Length: 23 pages
Date of creation: 1999
Date of revision:
Handle: RePEc:nuf:econwp:9927

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Web page: http://www.nuff.ox.ac.uk/economics/

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Related research
Keywords: INCOME DISTRIBUTION ; SOCIAL CHOICE ; POVERTY;

Find related papers by JEL classification:
D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
I31 - Health, Education, and Welfare - - Welfare and Poverty - - - General Welfare

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  1. Henar Diez & Mª Casilda Lasso de la Vega & Ana Marta Urrutia, 2007. "Unit-Consistent Aggregative Multidimensional Inequality Measures: A Characterization," Working Papers 66, ECINEQ, Society for the Study of Economic Inequality. [Downloadable!]
  2. John A. Weymark, 2003. "The Normative Approach to the Measurement of Multidimensional Inequality," Working Papers 0314, Department of Economics, Vanderbilt University, revised Jan 2004. [Downloadable!]
  3. Ma Casilda Lasso de la Vega & Ana Urrutia & Amaia de Sarachu, 2008. "Characterizing multidimensional inequality measures which fulfil the Pigou-Dalton bundle principle," Working Papers 99, ECINEQ, Society for the Study of Economic Inequality. [Downloadable!]
  4. Thibault Gajdos & John Weymark, 2005. "Multidimensional Generalized Gini Indices," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00085881_v1, HAL. [Downloadable!]
    Other versions:
  5. Barry C. Arnold, 2005. "Inequality measures for multivariate distributions," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(3), pages 317-327. [Downloadable!]
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