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A multiple correspondence analysis approach to the measurement of multidimensional poverty in Morocco, 2001-2007

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  • Ezzrar, Abdeljaouad
  • Verme , Paolo

Abstract

The measurement of multidimensional poverty has been advocated by most welfare scholars and is experiencing a growth in interest, partly explained by controversial debates that have emerged across academics and practitioners. This paper follows one of the least explored approaches -- Multiple Correspondence Analysis -- to assess multidimensional poverty in Morocco between 2001 and 2007. Multiple Correspondence Analysis provides two major advantages for the measurement of multidimensional poverty: it generates a matrix of"weights"based on the variance-covariance matrix of all welfare dimensions selected and provides a natural approach for constructing a composite welfare indicator that satisfies essential poverty ordering axioms. The application shows that poverty in Morocco has declined according to both monetary and multidimensional indicators and that these findings are robust to stochastic dominance tests. The paper concludes that the sustained positive growth that Morocco experienced during the last decade has translated in improvements in living conditions well beyond monetary returns.

Suggested Citation

  • Ezzrar, Abdeljaouad & Verme , Paolo, 2012. "A multiple correspondence analysis approach to the measurement of multidimensional poverty in Morocco, 2001-2007," Policy Research Working Paper Series 6087, The World Bank.
  • Handle: RePEc:wbk:wbrwps:6087
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    References listed on IDEAS

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    1. Jean-Yves Duclos & David E. Sahn & Stephen D. Younger, 2006. "Robust Multidimensional Poverty Comparisons," Economic Journal, Royal Economic Society, vol. 116(514), pages 943-968, October.
    2. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, pages 476-487.
    3. Koen Decancq & María Ana Lugo, 2013. "Weights in Multidimensional Indices of Wellbeing: An Overview," Econometric Reviews, Taylor & Francis Journals, vol. 32(1), pages 7-34, January.
    4. Sen, Amartya K, 1976. "Poverty: An Ordinal Approach to Measurement," Econometrica, Econometric Society, vol. 44(2), pages 219-231, March.
    5. Serge-Christophe Kolm, 1977. "Multidimensional Egalitarianisms," The Quarterly Journal of Economics, Oxford University Press, vol. 91(1), pages 1-13.
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    Cited by:

    1. Akoété Ega Agbodji & Yélé Maweki Batana & Dénis Ouedraogo, 2015. "Gender inequality in multidimensional welfare deprivation in West Africa: The case of Burkina Faso and Togo," International Journal of Social Economics, Emerald Group Publishing, vol. 42(11), pages 980-1004, November.
    2. Atika Pasha, 2015. "Regional Perspectives to the Multidimensional Poverty Index," Courant Research Centre: Poverty, Equity and Growth - Discussion Papers 188, Courant Research Centre PEG.
    3. Gbetoton Nadege, Djossou & Gilles Quentin, Kane & Novignon, Jacob, 2017. "Is growth pro-poor in Benin? evidence using a multidimensional measure of poverty," MPRA Paper 77963, University Library of Munich, Germany.

    More about this item

    Keywords

    Rural Poverty Reduction; Regional Economic Development; Achieving Shared Growth; Debt Markets;

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