Multidimensional Poverty Analysis - Sabina Alkire

The Global Multidimensional Poverty Index (MPI) is an internationally comparable index of acute poverty for 100+ developing countries. The MPI methodology is being adapted for national poverty measures – using indicators and specifications that best reflect each policy context and uses the Alkire-Foster methodology (2011). It has been computed for 33 new datasets in 2014 using the same methodology. It is now available for 108 countries using data from 2002 to 2013, with 57 countries having data for 2009-2013. The recent studies have also tracked changes in multidimensional poverty over time for 34 countries using DHS data, greatly extending last year’s work. Two measures related to distribution have been developed: one reflecting inequality among the poor, and the other, regional disparity in MPI across subnational regions. A new measure identifies the destitute as subset of the MPI poor who have deeper deprivations in at least a subset of MPI indicators.

Sabina Alkire directs the Oxford Poverty and Human Development Initiative (OPHI), a research centre within the Department of International Development, University of Oxford. Her research interests include multidimensional poverty measurement and analysis, welfare economics, the capability approach, the measurement of freedoms and human development. Publications include ‘Valuing Freedoms: Sen’s Capability Approach and Poverty Reduction’, as well as articles in Philosophy and Economics. She holds a DPhil in Economics from the University of Oxford.


Global Multidimensional Poverty Index (MPI) 2014 

Constructing a multidimensional poverty measure 

Measuring Acute Poverty in the Developing World: Robustness and Scope of the Multidimensional Poverty Index: available as an OPHI working paper or in World Development 

Download the pdf of the presentation here.

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