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Rapid Consumption Method and Poverty and Inequality Estimation in South Sudan revisited

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Listed:
  • Shinya Takamatsu
  • Nobuo Yoshida
  • Rakesh Ramasubbaiah
  • Freeha Fatima

Abstract

This paper presents updated poverty and inequality estimates from the South Sudan High Frequency Survey (HFS) consumption data. The HFS uses the Rapid Consumption Methodology (RCM), which skips part of consumption module, to save interview time due to the volatile security situation. The previous methodology adopted the Multivariate Normal Regression (MI-MVN) method to impute the skipped consumption data, but it produced improper consumption data like negative total consumption values for some households. Instead, the new methodology uses the Two-Part multiple imputation (MI) method, and improved the reliability of imputed consumption data, although there is still room for improvement. In addition, the new methodology adopts the latest consumer price index (CPI) and purchasing power parities (PPPs). Lastly, this paper updates the inequality estimates, which the previous method overestimated. As a result of all the above adjustments, South Sudan’s national poverty headcount rate in 2016-17 is 76.4 percent, which is 5.6 percentage points lower than the previous estimate of 82 percent. Inequality, as measured by the national Gini coefficient, is 44.1 percent, around 3 percentage points higher than the previous estimate of 41.0 percent.

Suggested Citation

  • Shinya Takamatsu & Nobuo Yoshida & Rakesh Ramasubbaiah & Freeha Fatima, 2021. "Rapid Consumption Method and Poverty and Inequality Estimation in South Sudan revisited," Global Poverty Monitoring Technical Note Series 18, The World Bank.
    • Handle: RePEc:wbk:wbgpmt:18
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    File URL: https://documents.worldbank.org/en/publication/documents-reports/documentdetail/169871634583488580/rapid-consumption-method-and-poverty-and-inequality-estimation-in-south-sudan-revisited
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    References listed on IDEAS

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    1. Hai-Anh H. Dang & Peter F. Lanjouw & Umar Serajuddin, 2017. "Updating poverty estimates in the absence of regular and comparable consumption data: methods and illustration with reference to a middle-income country," Oxford Economic Papers, Oxford University Press, vol. 69(4), pages 939-962.
    2. Luc Christiaensen & Peter Lanjouw & Jill Luoto & David Stifel, 2012. "Small area estimation-based prediction methods to track poverty: validation and applications," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 10(2), pages 267-297, June.
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    4. Beegle, Kathleen & De Weerdt, Joachim & Friedman, Jed & Gibson, John, 2012. "Methods of household consumption measurement through surveys: Experimental results from Tanzania," Journal of Development Economics, Elsevier, vol. 98(1), pages 3-18.
    5. David Stifel & Luc Christiaensen, 2007. "Tracking Poverty Over Time in the Absence of Comparable Consumption Data," The World Bank Economic Review, World Bank, vol. 21(2), pages 317-341, June.
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