Assessing Deprivation with an Ordinal Variable: Theory and Application to Sanitation Deprivation in Bangladesh. (22nd January 2020)

• Record Type: Journal Article
• Authors: Seth, Suman; Yalonetzky, Gaston
• Is Part Of: World Bank economic review. Volume 35:Number 3(2021)
• Page Start: 793
• Page End: 811
• Publication Date: 2020-01-22
• Subjects: ordinal variables -- poverty measurement -- precedence to poorer people -- Hammond transfer -- degree of poverty aversion -- stochastic dominance; Economic development -- Periodicals; Developing countries -- Economic conditions -- Periodicals; Developing countries -- Economic policy -- Periodicals; 330.91724
• DOI: 10.1093/wber/lhz051
• Languages: English
• ISSNs: 0258-6770

Abstract

Abstract: The challenges associated with poverty measurement using a cardinal variable have received much attention over the past four decades, but there is a dearth of literature on how to meaningfully assess poverty with an ordinal variable. This article proposes a class of simple, intuitive, and policy-relevant poverty measures for ordinal variables. The measures are sensitive to the depth of deprivations, unlike the headcount ratio. Moreover, under appropriate restrictions, the measures ensure that priority is given to the poorest among the poor when targeting, monitoring, and evaluating poverty alleviation programs. To assess the robustness of poverty comparisons to alternative choices of parameters, the article develops various stochastic dominance tests (some of which are novel contributions to the stochastic dominance literature). The empirical illustration documenting changes in sanitation deprivation in Bangladesh showcases the measures' ability to identify instances in which overall sanitation deprivation improved while leaving the poorest behind.