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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"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).
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2493, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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- 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.
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Cahiers de recherche
0115, Université Laval - Département d'économique.
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Springer;Society for the Study of Economic Inequality, vol. 1(1), pages 25-49, April.
- 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.
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