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

Author

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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.

Suggested Citation

  • Yélé Maweki Batana & Jean-Yves Duclos, 2008. "Multidimensional Poverty Dominance: Statistical Inference and an Application to West Africa," Cahiers de recherche 0808, CIRPEE.
    • Handle: RePEc:lvl:lacicr:0808
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    File URL: http://www.cirpee.org/fileadmin/documents/Cahiers_2008/CIRPEE08-08.pdf
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    Citations

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    Cited by:

    1. Yele Batana, 2008. "Multidimensional Measurement of Poverty in Sub-Saharan Africa," OPHI Working Papers 13, Queen Elizabeth House, University of Oxford.
    2. Oluwaseun A. Oyebamiji & Mohsin Khan, 2023. "Multidimensional poverty in South‐West Nigeria: Empirical insights from a household survey in Osun State," Poverty & Public Policy, John Wiley & Sons, vol. 15(2), pages 227-250, June.
    3. Nicolas Gravel & Abhiroop Mukhopadhyay, 2010. "Is India better off today than 15 years ago? A robust multidimensional answer," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 8(2), pages 173-195, June.
    4. Patricia Justino, 2012. "Multidimensional welfare distributions: empirical application to household panel data from Vietnam," Applied Economics, Taylor & Francis Journals, vol. 44(26), pages 3391-3405, September.
    5. 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.
    6. Yélé Maweki Batana & Jean-Yves Duclos, 2010. "Testing for Mobility Dominance," Cahiers de recherche 1002, CIRPEE.
    7. Ma. Casilda Lasso de la Vega, 2009. "Counting poverty orderings and deprivation curves," Working Papers 150, ECINEQ, Society for the Study of Economic Inequality.

    More about this item

    Keywords

    Stochastic dominance; factorial analysis; bayesian analysis; multidimensional poverty; empirical likelihood function; bootstrap tests;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • 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, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

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