Case Studies – the international MPI, and national multidimensional poverty measures for Mexico (2009) and Colombia (2011)
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Key readings covered in this lecture
MPI: Alkire, S. and Santos, M.E. (2010). Acute Multidimensional Poverty: A New Index for Developing Countries. OPHI working paper 38
Mexico: Foster, J.E. (2010). A Report on Mexican Multidimensional Poverty Measurement. OPHI working paper 40
Colombia: Colombia’s Multidimensional Poverty Index
Time Decomposition in the Alkire Foster Method
Robustness for the Alkire Foster Method
An Introduction to the Computation of Standard Errors in the Alkire Foster Method
Ongoing Debates and Research Topics
Guide to the video
Part 1: The Case of the global MPI
00:00 Introduction to the global MPI
03:10 Introduction to the components of MPI: surveys used, dimensions and weights chosen, and data restrictions on international comparable survey data
05:20 Explanation of the health dimension – variables and deprivation cut-offs
06:37 Explanation of the educational dimension – variables and deprivation cut-offs
07:58 Explanation of the living standard dimension – variables and deprivation cut-offs
11:54 Data constraints, a call for better data, and a note that MPI is not appropriate for national policy
15:46 Explanation of the equally (nested) weights in MPI – same as HDI, pasted robustness check, (most importantly) they are easy to communicate (Atkinson)
18:35 Identification (z-cut and k-cut offs); the debate/choice of the poverty cut-off (k).
21:48 Aggregation and limitation to the adjusted headcount (M0), as MPI is based on ordinal data.
23:10 Examples from qualitative work done on the global MPI.
26:10 Present the MPI 2010 results, comparison to $1.25/day, introduction to the many research questions relating to construction of a multidimensional poverty measure and MPI work within the topic (see lecture on Ongoing Debates and Research Topics).
33:56 Short introduction to subgroup and dimensional decomposition and contribution by indicator (see lecture on Decomposition by Dimension and Subgroup)
37:03 Discuss the need to look at different poverty cut-offs
39:00 Short introductions to standard errors and time comparisons (see lecture on Standard Errors and Time decompositions)
40:36 Robustness tests done on MPI for k cut-offs and weights (see lecture on Robustness Analysis)
Part 2: The Case of Mexico and Colombia
43:00 Mexico’s multidimensional poverty measure based on the country social development law and introduced in 2009. (see Foster (2006))
46:37 Colombia’s MPI – a complement to income measures. Dimensions, weights and analysis are presented. (see OPHI website page on Colombia)
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Applications of the AF Methodology: MPI, Mexico, and Colombia
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