The Asymptotic Distribution of the Generalized Gini Indices of Inequality
AbstractThis paper presents the asymptotic distributions of the S-Gini and E-Gini relative and absolute indices of inequality. The generalized Gini indices are defined in terms of Lorenz ordinates and results on the asymptotic covariance matrix of Lorenz ordinates are used to derive the large sample properties of the indices. The methods are illustrated by examining changes in the distribution of nondurable consumption in Canada over the 1980s. The authors find that inequality was lower in 1972 and 1990 than in 1984. Over the entire data period, relative inequality was either static or increased slightly, while absolute inequality declined.
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Bibliographic InfoArticle provided by Canadian Economics Association in its journal Canadian Journal of Economics.
Volume (Year): 28 (1995)
Issue (Month): 4b (November)
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Postal: Canadian Economics Association Prof. Steven Ambler, Secretary-Treasurer c/o Olivier Lebert, CEA/CJE/CPP Office C.P. 35006, 1221 Fleury Est Montréal, Québec, Canada H2C 3K4
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- Duclos, Jean-Yves & Tabi, Martin, 1998.
"Inégalité et redistribution du revenu, avec une application au Canada,"
Cahiers de recherche
9821, Université Laval - Département d'économique.
- Duclos, Jean-Yves & Tabi, Martin, 1999. "Inégalité et redistribution du revenu, avec une application au Canada," L'Actualité Economique, Société Canadienne de Science Economique, vol. 75(1), pages 95-122, mars-juin.
- T. Demuynck, 2009.
"An (almost) unbiased estimator for the S-Gini index,"
Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium
09/569, Ghent University, Faculty of Economics and Business Administration.
- Thomas Demuynck, 2012. "An (almost) unbiased estimator for the S-Gini index," Journal of Economic Inequality, Springer, vol. 10(1), pages 109-126, March.
- Giovanni Maria Giorgi & Paola Palmitesta & Corrado Provasi, 2006. "Asymptotic and bootstrap inference for the generalized Gini indices," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(1), pages 107-124.
- Jean-Yves Duclos, 2000. "Gini Indices and the Redistribution of Income," International Tax and Public Finance, Springer, vol. 7(2), pages 141-162, March.
- Cosme Vodounou, 2004. "Pauvreté, croissance et ciblage : propriétés asymptotiques des estimateurs des élasticités avec application au Bénin," Revue d’économie du développement, De Boeck Université, vol. 18(2), pages 65-84.
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