Conditions for the most robust multidimensional poverty comparisons using counting measures and ordinal variables

Springer Science and Business Media LLC - Tập 43 - Trang 773-807 - 2014
Gaston Yalonetzky1,2
1Leeds University Business School, Leeds, UK
2OPHI, Oxford University, Oxford, UK

Tóm tắt

A natural concern with multivariate poverty measures, as well as with other composite indices, is the robustness of their ordinal comparisons to changes in the indices’ parameter values. Applying multivariate stochastic dominance techniques, this paper derives the distributional conditions under which a multidimensional poverty comparison based on the popular counting measures, and ordinal variables, is fully robust to any values of the indices’ parameters. As the paper shows, the conditions are relevant to most of the multidimensional poverty indices in the literature, including the Alkire–Foster family, upon which the UNDP’s “Multidimensional Poverty Index” (MPI) is based. The conditions are illustrated with an example from the EU-SILC data set.

Tài liệu tham khảo

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