Distribution Free Statistical Inference for Inequality Dominance with Crossing Lorenx Curves
AbstractDistribution-free techniques of statistical inference are developed for the cumulative coefficients of variation of an income distribution, thus allowing one to test for inequality dominance when Lorenz curves cross. The full covariance structure of the cumulative sample means and variances is worked out. As an illustration, the procedures are applied to the 1984 and 1990 earnings distributions of male paid workers in the United States, and it is found that the 1990 distribution was significantly less unequal than the 1984 distribution.
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Bibliographic InfoPaper provided by Universite Aix-Marseille III in its series G.R.E.Q.A.M. with number 95a03.
Length: 16 pages
Date of creation: 1995
Date of revision:
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Postal: G.R.E.Q.A.M., (GROUPE DE RECHERCHE EN ECONOMIE QUANTITATIVE D'AIX MARSEILLE), CENTRE DE VIEILLE CHARITE, 2 RUE DE LA CHARITE, 13002 MARSEILLE.
Web page: http://www.greqam.fr/
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Other versions of this item:
- Charles M. Beach & Russell Davidson & George A. Slotsve, 1994. "Distribution-Free Statistical Inference for Inequality Dominance with Crossing Lorenz Curves," Working Papers 912, Queen's University, Department of Economics.
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- Rebecca Valenzuela & Hooi Hooi Lean, 2007. "Stochastic Dominance Analysis Of Australian Income Distributions," Monash Economics Working Papers 21-07, Monash University, Department of Economics.
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