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

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Author Info
Yélé Maweki Batana
Jean-Yves Duclos

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

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Date of creation: 2008
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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;

Find related papers by JEL classification:
C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - General
C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Bayesian Analysis
C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Hypothesis Testing
C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
C39 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Other
I32 - Health, Education, and Welfare - - Welfare and Poverty - - - Measurement and Analysis of Poverty

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