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Data Scarcity and Poverty Measurement

Author

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

Suggested Citation

  • Dang, Hai-Anh H. & Lanjouw, Peter F., 2021. "Data Scarcity and Poverty Measurement," GLO Discussion Paper Series 904, Global Labor Organization (GLO).
    • Handle: RePEc:zbw:glodps:904
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    poverty; imputation; consumption; wealth index; synthetic panels; household survey;
    All these keywords.

    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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