On a Distance Function-Based Inequality Measure in the Spirit of the Bonferroni and Gini Indices
AbstractA natural way of viewing an inequality or a poverty measure is in terms of the vector distance between an actual (empirical) distribution of incomes and some appropriately normative distribution (reflecting a perfectly equal distribution of incomes, or a
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Bibliographic InfoPaper provided by World Institute for Development Economic Research (UNU-WIDER) in its series Working Paper Series with number UNU-WIDER Research Paper WP2012/62.
Date of creation: 2012
Date of revision:
Gini coefficient; Bonferroni index; Canberra distance function; poverty; inequality;
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-12-06 (All new papers)
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- Subramanian, S., 2009. "Poverty Measures as Normalized Distance Functions," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 44(2), pages 171-183.
- Takayama, Noriyuki, 1979. "Poverty, Income Inequality, and Their Measures: Professor Sen's Axiomatic Approach Reconsidered," Econometrica, Econometric Society, vol. 47(3), pages 747-59, May.
- Kolm, Serge-Christophe, 1976. "Unequal inequalities. I," Journal of Economic Theory, Elsevier, vol. 12(3), pages 416-442, June.
- Satya Chakravarty, 2007. "A deprivation-based axiomatic characterization of the absolute Bonferroni index of inequality," Journal of Economic Inequality, Springer, vol. 5(3), pages 339-351, December.
- Sen, Amartya, 1973. "On Economic Inequality," OUP Catalogue, Oxford University Press, number 9780198281931.
- Kolm, Serge-Christophe, 1976. "Unequal inequalities. II," Journal of Economic Theory, Elsevier, vol. 13(1), pages 82-111, August.
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