Multidimensional poverty analysis: Looking for a middle ground
Widespread agreement that poverty is a multifaceted phenomenon, encompassing deprivations along multiple dimensions, clashes with often vociferous disagreement about how best to measure these deprivations. Drawing on the recent literature, this short note proposes three methodological alternatives to the false dichotomy between scalar indices of multidimensional poverty, on the one hand, and a “dashboard” approach that looks only at marginal distributions, on the other. These alternatives include simple Venn diagrams of the overlap of deprivations across dimensions, multivariate stochastic dominance analysis, and the analysis of copula functions, which capture the extent of interdependency across dimensions. Examples from the literature on both developing and developed countries are provided.
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- 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.
- Francisco Ferreira, 2011. "Poverty is multidimensional. But what are we going to do about it?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 9(3), pages 493-495, September.
- Maasoumi, Esfandiar & Lugo, Maria, 2006. "The Information Basis of Multivariate Poverty Assessments," Departmental Working Papers 0603, Southern Methodist University, Department of Economics.
- Esfandiar Maasoumi & Maria Ana Lugo, 2008. "The Information Basis of Multivariate Poverty Assessments," Emory Economics 0804, Department of Economics, Emory University (Atlanta).
- 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.
- Chakravarty, Satya R. & Deutsch, Joseph & Silber, Jacques, 2008. "On the Watts Multidimensional Poverty Index and its Decomposition," World Development, Elsevier, vol. 36(6), pages 1067-1077, June.
- François Bourguignon & Satya Chakravarty, 2003. "The Measurement of Multidimensional Poverty," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 1(1), pages 25-49, April.
- Bourguignon, F. & Chakravarty, S.R., 1998. "The Measurement of Multidimensional Poverty," DELTA Working Papers 98-12, DELTA (Ecole normale supérieure).
- Anthony B. Atkinson & Maria Ana Lugo, 2010. "Growth, poverty and distribution in Tanzania," LSE Research Online Documents on Economics 36376, London School of Economics and Political Science, LSE Library. Full references (including those not matched with items on IDEAS)