Robust Multidimensional Poverty Comparisons with Discrete Indicators of Well-Being

CIRPEE Working Paper No. 06-28

31 Pages Posted: 25 Jun 2006

See all articles by Jean-Yves Duclos

Jean-Yves Duclos

Laval University; IZA Institute of Labor Economics

David E. Sahn

Cornell University

Stephen D. Younger

Tulane University - CEQ Institute

Multiple version iconThere are 2 versions of this paper

Date Written: June 2006

Abstract

This paper provides a method to make robust multidimensional poverty comparisons when one or more of the dimensions of well-being or deprivation is discrete. Sampling distributions for the statistics used in these poverty comparisons are provided. Several examples show that the methods are both practical and interesting in the sense that they can provide richer information than do univariate poverty comparisons.

Keywords: Multidimensional Poverty, Stochastic Dominance

JEL Classification: D31, D63, I31, I32

Suggested Citation

Duclos, Jean-Yves and Sahn, David E. and Younger, Stephen D., Robust Multidimensional Poverty Comparisons with Discrete Indicators of Well-Being (June 2006). CIRPEE Working Paper No. 06-28, Available at SSRN: https://ssrn.com/abstract=911224 or http://dx.doi.org/10.2139/ssrn.911224

Jean-Yves Duclos (Contact Author)

Laval University ( email )

Quebec G1K 7P4
Canada
418-656-7096 (Phone)
418-656-9727 (Fax)

IZA Institute of Labor Economics

P.O. Box 7240
Bonn, D-53072
Germany

David E. Sahn

Cornell University ( email )

B16 MVR Hall
Ithaca, NY 14853
United States
607-255-8931 (Phone)
607-255-0178 (Fax)

HOME PAGE: http://courses.cit.cornell.edu/des16

Stephen D. Younger

Tulane University - CEQ Institute ( email )

6823 St Charles Ave
New Orleans, LA 70118
United States

Do you have negative results from your research you’d like to share?

Paper statistics

Downloads
205
Abstract Views
1,680
Rank
268,799
PlumX Metrics