Multidimensional poverty measurement with individual preferences

Koen Decancq, Marc Fleurbaey and Francois Maniquet

Working Papers from Princeton University, Department of Economics, Econometric Research Program.

Abstract: We propose a new class of multidimensional poverty indices. To aggregate and weight the different dimensions of poverty, we rely on the preferences of the concerned agents rather than on an arbitrary weighting scheme selected by the analyst. The Pareto principle is, therefore, satisfied among the poor. The indices add up individual measures of poverty that are computed as a convex transform of the fraction of the poverty line vector to which the agent is indifferent. The axiomatic characterization of this class is grounded on new principles of interpersonal poverty comparisons and of inequality aversion among the poor. We illustrate our approach with Russian survey data between 1995 and 2005. We find that, compared to standard poverty indices, our preference sensitive indices lead to considerable differences in the identification of the poor and in subgroup poverty comparisons.

JEL-codes: D63 D71 (search for similar items in EconPapers)
Date: 2014-01
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Citations: View citations in EconPapers (18)

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Related works:
Journal Article: Multidimensional poverty measurement with individual preferences (2019)
Journal Article: Multidimensional poverty measurement with individual preferences (2019)
Working Paper: Multidimensional poverty measurement with individual preferences (2019)
Working Paper: Multidimensional poverty measurement with individual preferences (2019)
Working Paper: Multidimensional poverty measurement with individual preferences (2015)
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