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Robustness tests for multidimensional poverty comparisons

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  • Sam Jones

Abstract

This paper provides practical tests for the robustness of multidimensional comparisons of well-being. Focussing on counting-type multidimensional poverty measures, I draw on the properties of positive Boolean threshold functions to prove that the space of feasible poverty definitions is finite and can be partitioned into at most (D2+D)/2 parts, where D is the number of dimensions of well-being spanned by the measure.

Suggested Citation

  • Sam Jones, 2017. "Robustness tests for multidimensional poverty comparisons," WIDER Working Paper Series wp-2017-206, World Institute for Development Economic Research (UNU-WIDER).
    • Handle: RePEc:unu:wpaper:wp-2017-206
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    References listed on IDEAS

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    1. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7), pages 476-487.
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