The MPI 2013 uses the same parameters (dimensions, indicators, cutoffs and weights) and the same functional form as in previous years. The main innovation this year
consists in updating the estimations for a series of countries and providing further possibilities for analysis over time.
This brief methodological note outlines specific changes and clarifications concerning the MPI 2013 estimations. It first explains the main updates in the MPI 2013 as well as the policies that will govern the MPI updates from 2013. It summarizes the MPI methodology that has been presented in detail in other documents (Alkire and Santos 2010; Alkire, Roche, Santos and Seth 2011). Then it explains the DHS nutritional subsamples and treatment for analysis over time. Finally, brief guidelines on how to undertake accurate analysis of changes over time are presented.
The methodologies used to generate the tables on the MPI and the 104 country briefings and interactive maps available on OPHI’s website, as well as the results published in the 2013 Human Development Report, are presented in this note. The tables are available for download as Excel files here.
This note i) introduces the methodology used to construct the Multidimensional Poverty Index (MPI) 2011, ii) shares the main updates that have taken place since 2011, and iii) presents initial robustness results. The 2011 MPI uses the same dimensions, indicators, cutoffs, and weights in as in 2010, and the functional form has not changed.
The construction of the MPI is explained in a non-technical fashion in Part 1 of this note. Part 2 outlines the updates to the MPI and the innovative analyses conducted this year.
The updates are as follows: this year the MPI has been constructed for five additional countries. A new MPI has been released drawing on updated data for 20 countries. Innovative analyses include decomposition by sub-national region, time series comparisons, the calculation of standard errors, and the construction of MPI-related environmental indicators. The methodologies used to generate the tables on the MPI and the country briefs and maps on OPHI’s website, as well as the results published in the 2011 Human Development Report, are presented in this note.
This paper presents a new Multidimensional Poverty Index (MPI) for 104 developing countries. It is the first time multidimensional poverty is estimated using micro datasets (household surveys) for such a large number of countries which cover about 78 percent of the world ́s population.
The MPI has the mathematical structure of one of the Alkire and Foster poverty multidimensional measures and it is composed of ten indicators corresponding to same three dimensions as the Human Development Index: Education, Health and Standard of Living. The MPI captures a set of direct deprivations that batter a person at the same time. This tool could be used to target the poorest, track the Millennium Development Goals, and design policies that directly address the interlocking deprivations poor people experience.
This paper presents the methodology and components in the MPI, describes main results, and shares basic robustness tests.