Data Scarcity and Poverty Measurement

Hai-Anh Dang () and Peter Lanjouw

No 14631, IZA Discussion Papers from Institute of Labor Economics (IZA)

Abstract: Measuring poverty trends and dynamics is an important undertaking for poverty reduction policies, which is further highlighted by the SDG goal 1 on eradicating poverty by 2030. We provide a broad overview of the pros and cons of poverty imputation in data-scarce environments, update recent review papers, and point to the latest research on the topics. We briefly review two common uses of poverty imputation methods that aim at tracking poverty over time and estimating poverty dynamics. We also discuss new areas for imputation.

Keywords: poverty; imputation; consumption; wealth index; synthetic panels; household survey (search for similar items in EconPapers)
JEL-codes: C15 I32 O15 (search for similar items in EconPapers)
Date: 2021-08
New Economics Papers: this item is included in nep-dev and nep-isf
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Published - published as 'Regression-based imputation for poverty measurement in data-scarce settings' in: Jacques Silber (ed.), Research Handbook on Measuring Poverty and Deprivation, Edward Elgar Press, 2023, chapter 13

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Working Paper: Data Scarcity and Poverty Measurement (2021)
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