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...

Most welfare studies are based on the assumption that wellbeing is monotonically related to the variables used for the analysis. While this assumption can be regarded as reasonable for many dimensions of wellbeing like income, education, or empowerment, there are some cases where it is...

Bennett and Hatzimasoura (2011) derive a new class of poverty measures suitable for ordinal variables. These indices are weighted sums of the population probabilities of attaining each state of the ordinal variable which is below the poverty line. The weights are uniquely determined by the...