Regression-based Imputation for Poverty Measurement in Data Scarce Settings
Hai-Anh Dang () and
Peter Lanjouw ()
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Peter Lanjouw: Vrije Unversiteit, Amsterdam
No 611, Working Papers from ECINEQ, Society for the Study of Economic Inequality
Measuring poverty trends and dynamics are important inputs in the formulation and design of poverty reduction policies. The empirical underpinnings of such exercises are often constrained by the absence of suitable data. We provide a broad, generalist, overview of regression-based imputation methods that have seen widespread application to estimate poverty outcomes in data-scarce environments. In particular, we review two imputation methods employed in tracking poverty over time and estimating poverty dynamics. We also discuss new areas that promise of further research.
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)
Pages: 17 pages
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Persistent link: https://EconPapers.repec.org/RePEc:inq:inqwps:ecineq2022-611
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