A multiple correspondence analysis approach to the measurement of multidimensional poverty in Morocco, 2001-2007
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.
|Date of creation:||01 Jun 2012|
|Contact details of provider:|| Postal: 1818 H Street, N.W., Washington, DC 20433|
Phone: (202) 477-1234
Web page: http://www.worldbank.org/
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Jean-Yves Duclos & David E. Sahn & Stephen D. Younger, 2006.
"Robust Multidimensional Poverty Comparisons,"
Royal Economic Society, vol. 116(514), pages 943-968, October.
- Duclos, Jean-Yves & Sahn, David & Younger, Stephen D., 2001. "Robust Multidimensional Poverty Comparisons," Cahiers de recherche 0115, Université Laval - Département d'économique.
- Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7-8), pages 476-487, August.
- Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7), pages 476-487.
- Sabina Alkire and James Foster, 2009. "Counting and Multidimensional Poverty Measurement," OPHI Working Papers ophiwp007, Queen Elizabeth House, University of Oxford.
- 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.
- DECANCQ, Koen & LUGO, Maria Ana, "undated". "Weights in multidimensional indices of wellbeing: an overview," CORE Discussion Papers RP 2493, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Koen DECANCQ & María Ana LUGO, 2010. "Weights in multidimensional indices of well-being: an overview," Working Papers Department of Economics ces10.06, KU Leuven, Faculty of Economics and Business, Department of Economics.
- Sen, Amartya K, 1976. "Poverty: An Ordinal Approach to Measurement," Econometrica, Econometric Society, vol. 44(2), pages 219-231, March.
- Serge-Christophe Kolm, 1977. "Multidimensional Egalitarianisms," The Quarterly Journal of Economics, Oxford University Press, vol. 91(1), pages 1-13. Full references (including those not matched with items on IDEAS)