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Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality

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Author Info
Davidson, R.
Duclos, J.-Y.

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Abstract

We derive the asymptotic sampling distribution of various estimators frequently used to order distributions in terms of poverty, welfare and inequality. This includes estimators of most of the poverty indices currently in use, as well as estimators of the curves used to infer stochastic dominance of any order. These curves can be used to determine whether poverty, inequality or social welfare is greater in one distribution than in another for general classes of indices.

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Publisher Info
Paper provided by Universite Aix-Marseille III in its series G.R.E.Q.A.M. with number 98a14.

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Length: 27 pages
Date of creation: 1998
Date of revision:
Handle: RePEc:fth:aixmeq:98a14

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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.
Phone: 04.91.14.07.70
Fax: 04.91.90.02.27
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Web page: http://www.vcharite.univ-mrs.fr/GREQAM/
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Keywords: POVERTY

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Find related papers by JEL classification:
C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods
C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

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This page was last updated on 2008-7-29.


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