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

In: Research Handbook on Measuring Poverty and Deprivation

Author

Listed:
  • Hai-Anh H. Dang
  • Peter F. Lanjouw

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.

Suggested Citation

  • Hai-Anh H. Dang & Peter F. Lanjouw, 2023. "Regression-based imputation for poverty measurement in data-scarce settings," Chapters, in: Jacques Silber (ed.), Research Handbook on Measuring Poverty and Deprivation, chapter 13, pages 141-150, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:20574_13
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    Cited by:

    1. Dang, Hai-Anh H. & Oseni, Gbemisola & Abanokova, Kseniya, 2025. "Educational inequalities during COVID-19: Results from longitudinal surveys in Sub-Saharan Africa," International Journal of Educational Development, Elsevier, vol. 112(C).
    2. Dang, Hai-Anh & Carletto, Calogero & Jolliffe, Dean, 2025. "Better tracking SDG progress with fewer resources? A call for more innovative data uses," World Development Perspectives, Elsevier, vol. 39(C).

    More about this item

    Keywords

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    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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