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Vulnerability to Multi-Dimensional Poverty: An Empirical Comparison of Alternative Measurement Approaches

Masood Azeem, Amin W Mugera, Steven Schilizzi

Research output: Contribution to journalArticlepeer-review

48 Citations (Scopus)

Abstract

This paper investigates whether different measures of ex-post poverty and ex-ante vulnerability to poverty provide consistent estimates of poverty and vulnerability to poverty across households. Moreover, if there is some heterogeneity in the identification of households as poor and vulnerable, it investigates the degree of mismatch between measures? The ex-post monetary poverty (MP) and multidimensional poverty (MDP) measures are used to identify poor households. Likewise, the ex-ante vulnerability to monetary poverty (VMP) and vulnerability to multidimensional poverty (VMDP) measures are used to identify vulnerable households. Using a large household survey data-set of about 90,000 households from the Punjab province of Pakistan, we find that most of the vulnerable households are accurately identified by the ex-ante measures of vulnerability to poverty. However, the ex-post measures of poverty identify different households as poor. Our results show that 18 percent households experiencing MDP are not captured by the one-dimensional measure of MP. The important implication of this study is that the choice of measures does matter in ex-post poverty identification, but not as much in the identification of ex-ante vulnerability to poverty.
Original languageEnglish
Pages (from-to)1612-1636
JournalThe Journal of Development Studies
Volume54
Issue number9
DOIs
Publication statusPublished - 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth

Keywords

  • Cross-Sectional Analysis
  • Economic Development and Growth

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