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The global Multidimensional Poverty Index (MPI) is an international measure of acute poverty covering over 100 developing countries. It complements traditional income-based poverty measures by capturing the deprivations that each person faces at the same time with respect to education, health and living standards.

Aruna's companions

Population Subgroup Decomposition and Dimensional Breakdown – right sidebar

Key readings covered in these lectures

Alkire, S., Foster, J. E., Seth, S., Santos, M. E., Roche, J. M., and Ballon, P. (2015). Multidimensional Poverty Measurement and Analysis, Oxford: Oxford University Press, ch. 5.

Alkire, S., Foster, J.E., 2011. Counting and Multidimensional Poverty Measurement. Journal of Public Economics, 95(7-8) 2011, 476-487.

MPI: Alkire, S., Roche, J. M., and Suman, S. (2011). Sub-national Disparities and Inter-temporal Evolution of Multidimensional Poverty across Developing Countries. OPHI Working Paper 32a

Bangladesh: Alkire, S. and Roche, J.M. (2011). Beyond Headcount: Measures that Reflect the Breadth and Components of Child Poverty. OPHI Working Paper 45

Reading List

Paper Based Exercise

This paper based exercise introduces the decomposability of measures in the Alkire Foster family, both by subgroup and indicators. You will learn how to compute the subgroup MPI and each indicator’s censored headcounts, as well as the contribution from each indicator and subgroup to the overall adjusted headcount

Exercise sheet

Answer Key

Inequality among the Poor – right sidebar

Key readings covered in these lectures

Alkire, S., Foster, J. E., Seth, S., Santos, M. E., Roche, J. M., and Ballon, P. (2015). Multidimensional Poverty Measurement and Analysis, Oxford: Oxford University Press, ch. 9.

Apablaza, M., Ocampo, J.P. , and Yalonetzky, G. (2010). ‘Decomposing Changes in Multidimensional Poverty in 10 Countries’, mimeo, Oxford Poverty and Human Development Initiative, Oxford Department of International Development, University of Oxford

Seth, S. & Alkire, S. (2014) Measuring and decomposing inequality among the multidimensionally poor using ordinal data: A counting approach. OPHI Working Paper 68, University of Oxford.

Robustness Analysis & Statistical Inference – right sidebar

Key readings covered in these lectures

Alkire, S., Foster, J. E., Seth, S., Santos, M. E., Roche, J. M., and Ballon, P. (2015). Multidimensional Poverty Measurement and Analysis, Oxford: Oxford University Press, ch. 8.

Alkire, S. Santon, M.E., Suman, S., and Yalonetzky, G. (2010). Is the Multidimensional Poverty Index robust to different weights? OPHI Working Paper 22a, University of Oxford.

Atkinson, A. and Bourguignon, F. (1982), “The Comparison of Multidimensional Distributions of Economic Status”, Review of Economic Studies, XLIX, 183-201

Deaton, A. (1997). The analysis of household surveys. A microeconometric approach to development policy. The World Bank

Lynn, P. (2007). Hypothesis testing using complex survey data. Course presented at the University of Essex

Yalonetzky, G (2011), Conditions for the Most Robust Poverty Comparisons Using the Alkire-Foster Family of Measures. OPHI Working Paper 44b, University of Oxford.

Yalonetzky, G (2011). A note on the standard errors of the members of the Alkire Foster family and its components. OPHI Research in Progress Paper 25a, University of Oxford.

Reading List