Data Scarcity and Poverty Measurement

Hai-Anh Dang () and Peter Lanjouw

No 904, GLO Discussion Paper Series from Global Labor Organization (GLO)

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
New Economics Papers: this item is included in nep-dev
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https://www.econstor.eu/bitstream/10419/236203/1/GLO-DP-0904.pdf (application/pdf)

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Working Paper: Data Scarcity and Poverty Measurement (2021)
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Persistent link: https://EconPapers.repec.org/RePEc:zbw:glodps:904

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