Summer School 2015 on Multidimensional Poverty Analysis

Organised by OPHI and hosted at the Georgetown University in Washington D.C. 3-15 August

The purpose of this intensive summer school was to provide a thorough conceptual and technical introduction to some techniques of measuring multidimensional poverty with a strong emphasis on the Alkire Foster method. Participants revised axiomatic poverty measures, and learnt about different techniques of multidimensional poverty measurement and which problems they are best suited to solve. The empirical motivation for measuring multidimensional poverty was presented as well as the conceptual motivation, which drew on Amartya Sen’s capability approach. 

The following topics were covered:

  • Axiomatic approaches to unidimensional and multidimensional poverty;
  • Methodologies to analyse multidimensional poverty – dashboard, stochastic dominance, information theory, fuzzy set, multiple correspondence analysis, unmet basic needs and counting approaches – and the problems each methodology best solves;
  • The Alkire Foster methodology of multidimensional poverty measurement;
  • Selection of parameters – purpose, unit of measure, dimensions, indicators, cut-offs and weights;
  • Subgroup decomposition and mapping;
  • Multidimensional poverty dynamics;
  • Disparity among the poor and across groups;
  • Econometric analysis of multidimensional poverty; and
  • Institutions, policies, and communication.

 

OPHI Summer School Materials 2015

Key resources

Pre-Summer School Readings

Presentations and exercises

 

Day 1 Video PDF
Why Multidimensional (MD) Poverty Measures? Play-icon-transparent pdf-icon-transparent-background2
More Relatively-Poor People in a Less Absolutely-Poor World Play-icon-transparent pdf-icon-transparent-background2
Review: Unidimensional Poverty Measurement Play-icon-transparent pdf-icon-transparent-background2
Day 2
Case studies: Multidimensional Poverty Index (MPI) Play-icon-transparent pdf-icon-transparent-background2
Alkire Foster Methodology Play-icon-transparent pdf-icon-transparent-background2
 Multidimensional Poverty Measurement Methodologies and Counting Approaches  pdf-icon-transparent-background2
Day 3
 Introduction to the Capability Approach pdf-icon-transparent-background2
National Multidimensional Poverty Measures Play-icon-transparent pdf-icon-transparent-background2
Normative Choices in Measurement Design pdf-icon-transparent-background2
Day 4
Data Issues in Multidimensional Poverty Measurement pdf-icon-transparent-background2
 Stata  Play-icon-transparent  pdf-icon-transparent-background2
 Day 5
Associations across Deprivations Play-icon-transparent pdf-icon-transparent-background2
 Day 7
Population Subgroup Decomposition and Dimensional Breakdown Play-icon-transparent pdf-icon-transparent-background2
Day 8
Robustness analysis and statistical inference Play-icon-transparent pdf-icon-transparent-background2
Multidimensional Poverty Dynamics with Time Series and Panel data Play-icon-transparent pdf-icon-transparent-background2
Interpreting
Multidimensional Poverty Results
Play-icon-transparent pdf-icon-transparent-background2
 Day 9
Multidimensional Poverty and Distribution: Inequality among the poor and Disparity across regions Play-icon-transparent pdf-icon-transparent-background2
Some Regression Models for the Alkire and Foster Method Play-icon-transparent pdf-icon-transparent-background2
Communication Play-icon-transparent pdf-icon-transparent-background2
Day 10
Targeting and Impact Evaluation pdf-icon-transparent-background2
Uses & Institutionalisation of Multidimensional Poverty Measurement pdf-icon-transparent-background2