| Changes Over Time in Multidimensional Poverty: Methodology and Results for 34 Countries |
| Authors: |
Sabina Alkire, José Manuel Roche, and Ana Vaz |
| Source: |
World Development, 94: 232-249; DOI: https://doi.org/10.1016/j.worlddev.2017.01.011 |
| Topic(s): |
Poverty
|
| Country: |
More than one region
Multiple Regions
|
| Published: |
JUN 2017 |
| Abstract: |
This paper sets out a systemic account of intertemporal changes in multidimensional poverty using the Alkire–Foster Adjusted
Headcount Ratio and its consistent sub-indices. It uses three techniques to assess the pro-poorness of multidimensional poverty
reduction. The analysis of changes in multidimensional poverty draws on the global Multidimensional Poverty Index (MPI) and related
destitution measure in 34 countries and 338 sub-national regions, covering 2.5 billion people, for which there is a recent MPI estimation
and comparable Demographic and Health Survey (DHS) dataset across time. First, it assesses overall changes in poverty and its incidence
and intensity, and compares this with changes in $1.90 poverty. Next, utilizing the property of subgroup decomposability, it examines
changes in the MPI and its consistent sub-indices over time across urban–rural regions, sub-national regions and ethnic groups. The
decomposition analysis identifies relevant national patterns, including those in which the pace of poverty reduction is higher for the
poorest subgroups. Finally, the paper analyzes the dynamics of a strict subset of the poor, who are identified as ‘‘destitute” using a more
extreme deprivation cutoff vector, and studies relative rates of reduction of destitution and poverty by country and region. This extensive
empirical analysis illustrates how to assess the extent and patterns of reduction of multidimensional poverty, as well as whether it is inclusive
or whether some people or groups are left behind. Naturally, some further research questions emerge.
2017 TheAuthors.Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/
by/4.0/).
Key words — multidimensional poverty, poverty analysis, poverty trends |
| Web: |
https://ac.els-cdn.com/S0305750X17300256/1-s2.0-S0305750X17300256-main.pdf?_tid=9837587a-daf8-11e7-9954-00000aab0f6b&acdnat=1512614870_21195923eb17af96f43f216a0dea6691 |
|