Joint UNU-MERIT/School of Governance Seminar: “Conditions for the most robust multidimensional poverty comparisons using counting measures”
The counting approach to the measurement of multidimensional poverty has gained popularity recently with the publication of a “Multidimensional Poverty Index” (MPI) in the 2010 and 2011 Human Development Reports (UNDP). The MPI is based on a member of the Alkire-Foster (AF) family of counting measures that stands out for its resilience in identifying the multidimensionally poor with cut-off criteria covering the spectrum from the union identification approach to the intersection approach. However, a natural concern with these measures, as well as with other composite indices, is whether their ordinal comparisons are robust to changes in the indices’ parameter values.
This seminar focuses on a paper that applies multivariate stochastic dominance techniques to derive the distributional conditions under which a multidimensional poverty comparison based on counting measures is fully robust to any values of the indices’ parameters. It will be shown that the conditions are relevant to most of the multidimensional poverty indices in the literature, including the Alkire-Foster family.
Gaston Yalonetzky is a Lecturer at the Leeds University Business School, and a Research Associate at the Oxford Poverty and Human Development Initiative. His research interests are in the fields of economic development, socio-economic mobility, group inequality and measurement of wellbeing.
For more information and to register, please see the UNU-MERIT seminars page.