Robust Multidimensional Poverty Comparisons with Discrete Indicators of Well-being

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.

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Year of publication:	2006
Authors:	Duclos, Jean-Yves ; Sahn, David ; Younger, Stephen D.
Institutions:	Centre Interuniversitaire sur le Risque, les Politiques Économiques et l'Emploi (CIRPÉE)
Subject:	Multidimensional Poverty \| Stochastic Dominance

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Extent:	application/pdf
Series:	Cahiers de recherche.
Type of publication:	Book / Working Paper
Language:	English
Classification:	D31 - Personal Income, Wealth and Their Distributions ; D63 - Equity, Justice, Inequality, and Other Normative Criteria and Measurement ; I31 - General Welfare; Basic Needs; Quality of Life ; I32 - Measurement and Analysis of Poverty
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005670273