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

Russell Davidson and Jean-Yves Duclos

G.R.E.Q.A.M. from Universite Aix-Marseille III

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.

Keywords: POVERTY (search for similar items in EconPapers)
JEL-codes: C14 C40 D31 D63 (search for similar items in EconPapers)
Pages: 27 pages
Date: 1998
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Citations: View citations in EconPapers (7)

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Related works:
Journal Article: Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality (2000)
Working Paper: Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality (1998)
Working Paper: Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality (1998)
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Persistent link: https://EconPapers.repec.org/RePEc:fth:aixmeq:98a14

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