Regression-based imputation for poverty measurement in data-scarce settings

Hai-Anh Dang () and Peter Lanjouw

Chapter 13 in Research Handbook on Measuring Poverty and Deprivation, 2023, pp 141-150 from Edward Elgar Publishing

Abstract: 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: Development Studies; Economics and Finance; Geography; Research Methods; Sociology and Social Policy (search for similar items in EconPapers)
Date: 2023
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Working Paper: Regression-based Imputation for Poverty Measurement in Data Scarce Settings (2022)
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