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A Behavior-Based Approach to the Estimation of Poverty in India
Stockholm University, Faculty of Social Sciences, Institute for International Economic Studies.
Number of Authors: 32019 (English)In: Scandinavian Journal of Economics, ISSN 0347-0520, E-ISSN 1467-9442, Vol. 121, no 1, p. 182-224Article in journal (Refereed) Published
Abstract [en]

Estimates of poverty in India are crucial inputs for the understanding of world poverty, yet there is much disagreement about the numbers and the legitimacy of methods used to derive them. In this paper, we propose and justify an alternative approach to identify the poor, which uses the proportion of income spent on food. Our estimates have weaker data requirements than official methods, and they compare favorably with several validation tests. Most notably, households around our state poverty lines obtain their calories from similar sources, whereas this is not true of official poverty lines. We also find that rates of self-reported hunger are higher in states that we classify as poor.

Place, publisher, year, edition, pages
2019. Vol. 121, no 1, p. 182-224
Keywords [en]
Cost of living, Engel curves, measurement
National Category
Economics and Business
Identifiers
URN: urn:nbn:se:su:diva-166848DOI: 10.1111/sjoe.12282ISI: 000456801400007OAI: oai:DiVA.org:su-166848DiVA, id: diva2:1294383
Available from: 2019-03-07 Created: 2019-03-07 Last updated: 2019-03-07Bibliographically approved

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