Multidimensional Poverty Dominance: Statistical Inference and an Application to West Africa
Yele Maweki Batana
affiliation not provided to SSRN
Laval University; Institute for the Study of Labor (IZA)
May 1, 2008
CIRPEE Working Paper 08-08
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.
Number of Pages in PDF File: 33
Keywords: Stochastic dominance, factorial analysis, bayesian analysis, multidimensional poverty, empirical likelihood function, bootstrap tests
JEL Classification: C10, C11, C12, C30, C39, I32working papers series
Date posted: June 3, 2008 ; Last revised: June 25, 2009
© 2013 Social Science Electronic Publishing, Inc. All Rights Reserved.
This page was processed by apollo4 in 0.344 seconds