Oxford Poverty & Human Development Initiative

Oxford Department of International Development

Queen Elizabeth House, University of Oxford

AF Measure Analysis Issues III: Decompositions by dimension and regional and ethnic groups, and policy implications

Jose Manuel Roche
and Suman Seth

  • The calculation of decomposition by subgroup and dimensions.
  • The calculation of the contribution of each dimension’s censored headcount to overall poverty, as well as each subgroup’s.
  • Shows the implementation of these analyses in the case of the global MPI and a study of child poverty in Bangladesh.

Key readings

Related lectures

Watch the video (includes video guide)

Paper Based Exercise

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Key readings

Alkire, S., Foster, J.E., 2011. Counting and Multidimensional Poverty MeasurementJournal of Public Economics (Link to OPHI website)

Apart from the lectures introduction to decomposition this note is useful Technical Guide on the Alkire Foster method (from Summer School)

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

 

Related lectures

Time Decompositions of the Alkire Foster Method

 

Video

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Guide to the video

Part 1: The Calculation of Decomposition and Contribution

00:00 Introduction population subgroup decomposition in the AF method.

06:21 Shows subgroup decomposition calculations.

08:33 Dimensional decompositions, or the censored headcount for each dimensions. M1 and M2 have the same decomposition properties and calculations are similar.

17:10 Contribution of dimensional subgroup.

19:38 Using unequal weights when calculating the contribution of each dimension

Part 2: Empirical Examples of MPI and Child Poverty in Bangladesh

25:14 Empirical analyses of subgroup and dimensional decomposition and contributions.

27:00 Example of global MPI and the contributions of intensity and incidence to the overall adjusted headcount (see Alkire and Santos (2010))

29:24 Decomposition of MPI, the example of India and Kenya; large variations

33:08 Global MPI, dimensional composition at the regional level

35:17 Global MPI, the composition of poverty, three country examples

38:21 Global MPI, the composition of poverty, same level different composition, a way to understand poverty.

39:27 Global MPI, poverty structures, typologies of poverty

41:13 Example of Child Poverty in Bangladesh using a different measure than the global MPI (Alkire and Roche (2011)). Apart from decompositions and dimensional contributions, the presentation goes through time comparisons, k cut-off robustness, dominance analysis, regional changes over time, k cut-off sensitivity at a regional level.

53:25 Changes over time in the censored headcount, the average deprivation score and the adjusted headcount – observing these changes could influence poverty (see lecture on Time Decomposition of the Alkire Foster method)

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

 

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