Poverty Monitoring Under Acute Data Constraints: A Role For Imputation Methods?

Peter Lanjouw (LIS and Vrije Universiteit Amsterdam), and Nobuo Yoshida (World Bank)

Collecting data to estimate monetary poverty in low-income countries and fragile states is a challenging task. This note discusses ways of compiling consumption or income data from the perspective of data quality and sample size. Lanjouw and Yoshida describe two approaches that apply survey-to-survey imputation techniques aimed at saving interview time and data collection costs. These new approaches draw attention to recent exploration of imputation methods as a means to improving the quality and increasing the availability of distributional data at the country level.

Full article is available here.

September 16, 2021 | News