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Multidimensional Poverty Dominance: Statistical Inference and an Application to West Africa

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  • Yélé Maweki Batana
  • Jean-Yves Duclos

Abstract

This paper tests for robust multidimensional poverty comparisons across six countries of the West African Economic and Monetary Union (WAEMU). Two dimensions are considered, nutritional status and assets. The estimation of the asset index is based on two factorial analysis methods. The first method uses Multiple Correspondence Analysis; the second is based on the maximization of a likelihood function and on bayesian analysis. Using Demographic and Health Surveys (DHS), pivotal bootstrap tests lead to statistically significant dominance relationships between 12 of the 15 possible pairs of the six WAEMU countries. Multidimensional poverty is also inferred to be more prevalent in rural than in urban areas. These results tend to support those derived from more restrictive unidimensional dominance tests.

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File URL: http://www.cirpee.org/fileadmin/documents/Cahiers_2008/CIRPEE08-08.pdf
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Bibliographic Info

Paper provided by CIRPEE in its series Cahiers de recherche with number 0808.

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Date of creation: 2008
Date of revision:
Handle: RePEc:lvl:lacicr:0808

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Related research

Keywords: Stochastic dominance; factorial analysis; bayesian analysis; multidimensional poverty; empirical likelihood function; bootstrap tests;

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Cited by:
  1. Nicolas Gravel, 2007. "Is India Better off Today Than 15 Years Ago? A Robust Multidimensional Answer," Working Papers id:1056, eSocialSciences.
  2. Ma. Casilda Lasso de la Vega, 2009. "Counting poverty orderings and deprivation curves," Working Papers 150, ECINEQ, Society for the Study of Economic Inequality.
  3. Adriana Conconi, 2011. "Pobreza Multidimensional en Argentina: Ampliando las Medidas Tradicionales de Pobreza por Ingreso y NBI," Department of Economics, Working Papers 090, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata.
  4. Yélé Maweki Batana & Jean-Yves Duclos, 2010. "Testing for Mobility Dominance," Cahiers de recherche 1002, CIRPEE.

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