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Asymptotically Distribution-Free Statistical Inference for Generalized Lorenz Curves

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Author Info
Bishop, John A
Chakraborti, S
Thistle, Paul D
Abstract

This paper provides asymtotically distribution-free statistical inference procedures for generalized Lorenz curves. Given appropriate measures of income and the income recipient unit are chosen appropriately, the tests allow consensually valid statements regarding social welfare to be made from sample data on the basis of sound inferential procedures. More generally, the results presented here can be applied to test for second degree stochastic dominance. Copyright 1989 by MIT Press.

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Publisher Info
Article provided by MIT Press in its journal Review of Economics & Statistics.

Volume (Year): 71 (1989)
Issue (Month): 4 (November)
Pages: 725-27
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Handle: RePEc:tpr:restat:v:71:y:1989:i:4:p:725-27

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  2. Duclos, Jean-Yves & Esteban, Joan & Ray, Debraj, 2003. "Polarization: Concepts, Measurement, Estimation," Cahiers de recherche 0301, CIRPEE. [Downloadable!]
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  3. Stephen Donald & David Green & Harry Paarsch, . "Differences in Earnings and Wage Distributions between Canada and the United States: An Application of a Semi-Parametric Estimator of Distribution Functions with Covariates," Working Papers _003, University of California at Berkeley, Econometrics Laboratory Software Archive. [Downloadable!]
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  4. Chotikapanich, D. & Griffiths, W., 2001. "Estimating Lorenz Curves Using a Dirichlet Distribution," Department of Economics - Working Papers Series 802, The University of Melbourne. [Downloadable!]
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