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Rapid Consumption Method and Poverty and Inequality Estimation in Somalia Revisited

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  • Shinya Takamatsu
  • Nobuo Yoshida
  • Aphichoke Kotikula

Abstract

This paper presents updated poverty and inequality estimates from the Somalia High Frequency Survey. This survey used the Rapid Consumption Method to collect consumption data quickly in an environment of high insecurity. Its poverty estimation, therefore, requires imputation of skipped consumption modules. Previous poverty estimates did not properly impute consumption, resulting in the imputation of negative total consumption values for some households. This paper uses the Two-Part Multiple Imputation method to address this issue. The assessment of module-level prediction performance demonstrates that the Two-Part Multiple Imputation handles this issue effectively. In addition, this paper adopts the newly updated 2011 purchasing power parities to convert the High Frequency Survey consumption data for global poverty measurement purposes. Lastly, this paper provides new inequality measures to address issues with the previous exercise. The paper finds that new poverty rates are slightly lower than those using the previous method while inequality is higher with the new method.

Suggested Citation

  • Shinya Takamatsu & Nobuo Yoshida & Aphichoke Kotikula, 2022. "Rapid Consumption Method and Poverty and Inequality Estimation in Somalia Revisited," Global Poverty Monitoring Technical Note Series 19, The World Bank.
    • Handle: RePEc:wbk:wbgpmt:19
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    File URL: https://documents.worldbank.org/en/publication/documents-reports/documentdetail/099538303302234339/idu0f3e6ea4209840041f5091ce02a420950f318
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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.
    3. Utz Pape & Philip Wollburg, 2019. "Estimation of Poverty in Somalia Using Innovative Methodologies," HiCN Working Papers 306, Households in Conflict Network.
    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. Mohamed Douidich & Abdeljaouad Ezzrari & Roy Van der Weide & Paolo Verme, 2016. "Estimating Quarterly Poverty Rates Using Labor Force Surveys: A Primer," The World Bank Economic Review, World Bank, vol. 30(3), pages 475-500.
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