Data Scarcity and Poverty Measurement

A new GLO Discussion Paper provides a broad overview of the pros and cons of poverty imputation in data-scarce environments.

Hai-Anh Dang

GLO Discussion Paper No. 904, 2021

Data Scarcity and Poverty Measurement Download PDF
by
Dang, Hai-Anh H. & Lanjouw, Peter F.

GLO Fellow Hai-Anh Dang


Author 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.

GLO Discussion Papers are research and policy papers of the GLO Network which are widely circulated to encourage discussion. Provided in cooperation with EconStor, a service of the ZBW – Leibniz Information Centre for Economics, GLO Discussion Papers are among others listed in RePEc (see IDEAS,  EconPapers)Complete list of all GLO DPs – downloadable for free.

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