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Data gaps, data incomparability, and data imputation: A review of poverty measurement methods for data-scarce environments

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  • Hai-Anh Dang

    (World Bank, USA)

  • Dean Jolliffe

    (World Bank, USA)

  • Calogero Carletto

    (World Bank, USA)

Abstract

We offer a review of methods that have been employed to provide poverty estimates of poverty in contexts where household consumption data are unavailable or missing. These contexts range from completely missing and partially missing consumption data in cross sectional household surveys, to missing panel household data. We focus on methods that aim to compare trends and dynamic patterns of poverty outcomes over time. We present the various existing methods under a common framework, with pedagogical discussion on the intuition. Empirical illustrations are provided using several rounds of household survey data from Vietnam. Furthermore, we also offer a practical guide with detailed instructions on computer programs that can be used to implement the reviewed techniques.

Suggested Citation

  • Hai-Anh Dang & Dean Jolliffe & Calogero Carletto, 2018. "Data gaps, data incomparability, and data imputation: A review of poverty measurement methods for data-scarce environments," Working Papers 456, ECINEQ, Society for the Study of Economic Inequality.
  • Handle: RePEc:inq:inqwps:ecineq2018-456
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    Cited by:

    1. Dang, Hai-Anh H. & Lanjouw, Peter F., 2020. "Welfare Dynamics in India over a Quarter Century: Poverty, Vulnerability, and Mobility during 1987-2012," GLO Discussion Paper Series 535, Global Labor Organization (GLO).
    2. Theresa Beltramo & Hai-Anh H. Dang & Ibrahima Sarr & Paolo Verme, 2020. "Estimating Poverty among Refugee Populations: A Cross-Survey Imputation Exercise for Chad," Working Papers 536, ECINEQ, Society for the Study of Economic Inequality.
    3. François Bourguignon & A. Hector Moreno M., 2020. "On synthetic income panels," Working Papers halshs-01988068, HAL.
    4. Dang, Hai-Anh H. & Serajuddin, Umar, 2020. "Tracking the sustainable development goals: Emerging measurement challenges and further reflections," World Development, Elsevier, vol. 127(C).
    5. Dang, Hai-Anh H. & Lanjouw, Peter F., 2021. "Data Scarcity and Poverty Measurement," GLO Discussion Paper Series 904, Global Labor Organization (GLO).
    6. Dang, Hai-Anh & Abanokova, Kseniya & Lokshin, Michael, 2020. "Life Satisfaction, Subjective Wealth, and Adaptation to Vulnerability in the Russian Federation during 2002-2017," IZA Discussion Papers 13058, Institute of Labor Economics (IZA).
    7. Dang, Hai-Anh H. & Verme, Paolo, 2019. "Estimating Poverty for Refugee Populations: Can Cross-Survey Imputation Methods Substitute for Data Scarcity?," GLO Discussion Paper Series 429, Global Labor Organization (GLO).
    8. Kseniya Abanokova & Hai-Anh H. Dang & Michael M. Lokshin, 2020. "The Important Role of Equivalence Scales: Household Size, Composition, and Poverty Dynamics in the Russian Federation," Working Papers 539, ECINEQ, Society for the Study of Economic Inequality.
    9. Ahmad Wali Ahmad-Yar & Tuba Bircan, 2021. "Anatomy of a Misfit: International Migration Statistics," Sustainability, MDPI, vol. 13(7), pages 1-22, April.
    10. Dang,Hai-Anh H., 2018. "To impute or not to impute ? a review of alternative poverty estimation methods in the context of unavailable consumption data," Policy Research Working Paper Series 8403, The World Bank.
    11. Abanokova, Kseniya & Dang, Hai-Anh & Lokshin, Michael, 2020. "The Important Role of Equivalence Scales: Household Size, Composition, and Poverty Dynamics in Russia," IZA Discussion Papers 13043, Institute of Labor Economics (IZA).
    12. Atamanov,Aziz & Tandon,Sharad Alan & Lopez-Acevedo,Gladys C. & Vergara Bahena,Mexico Alberto, 2020. "Measuring Monetary Poverty in the Middle East and North Africa (MENA) Region : Data Gaps and Different Options to Address Them," Policy Research Working Paper Series 9259, The World Bank.
    13. Hai-Anh H. Dang, 2019. "To impute or not to impute, and how? A review of alternative poverty estimation methods in the context of unavailable consumption data," Working Papers 507, ECINEQ, Society for the Study of Economic Inequality.
    14. Hai-Anh Dang & Paolo Verme, 2021. "Estimating Poverty for Refugees in Data-scarce Contexts: An Application of Cross-Survey Imputation," Working Papers 578, ECINEQ, Society for the Study of Economic Inequality.

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    More about this item

    Keywords

    poverty; mobility; 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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