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

贫穷 脆弱性(计算) 事前 经济 基本需求 鉴定(生物学) 经济增长 计算机科学 宏观经济学 生物 计算机安全 植物
作者
Muhammad Masood Azeem,Amin Mugera,Steven Schilizzi
出处
期刊:Journal of Development Studies [Taylor & Francis]
卷期号:54 (9): 1612-1636 被引量:52
标识
DOI:10.1080/00220388.2017.1344646
摘要

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.
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