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Pakistan Poverty Map 2019–2020

Author

Listed:
  • Ramiro Alberto Malaga Ortega
  • Moritz Meyer
  • Paul Andres Corral Rodas

Abstract

This paper summarizes the approach used to estimate monetary poverty for Pakistan in 2019–20 at the district level. The small area estimation method is used to impute welfare from the Household Income and Expenditure Survey 2018–19 into the Pakistan Social and Living Standard Measurement Survey 2019–20. This application differs from the standard small area estimation implementations that use a survey-to-census method because the two surveys are household surveys. Using surveys instead of a census as the target data offers additional information for modeling poverty, but it also comes at the expense of noise due to sampling. Monetary poverty rates are estimated for 126 districts in Punjab, Sindh, Khyber Pakhtunkhwa, and Balochistan, including, for the first time, the districts of the former Federal Administered Tribal Areas and the former Frontier Regions. Using the Census Empirical Best method, the analysis obtains poverty estimates with higher precision and accuracy than those of the methodology previously implemented in Pakistan.

Suggested Citation

  • Ramiro Alberto Malaga Ortega & Moritz Meyer & Paul Andres Corral Rodas, 2024. "Pakistan Poverty Map 2019–2020," Policy Research Working Paper Series 11012, The World Bank.
    • Handle: RePEc:wbk:wbrwps:11012
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    References listed on IDEAS

    as
    1. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-766, May.
    2. Yolanda Marhuenda & Isabel Molina & Domingo Morales & J. N. K. Rao, 2017. "Poverty mapping in small areas under a twofold nested error regression model," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(4), pages 1111-1136, October.
    3. Tara Bedi & Aline Coudouel & Kenneth Simler, 2007. "More Than a Pretty Picture : Using Poverty Maps to Design Better Policies and Interventions," World Bank Publications - Books, The World Bank Group, number 6800, August.
    4. Isabel Molina & Paul Corral & Minh Nguyen, 2022. "Estimation of poverty and inequality in small areas: review and discussion," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 31(4), pages 1143-1166, December.
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