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Estimating Quarterly Poverty Rates Using Labor Force Surveys: A Primer

Author

Listed:
  • Mohamed Douidich
  • Abdeljaouad Ezzrari
  • Roy Van der Weide
  • Paolo Verme
Abstract
This paper builds on the existing cross-survey imputation literature to provide up-to-date estimates of poverty when official estimates are deemed outdated. This is achieved by imputing household expenditure data into Labor Force Surveys (LFSs) with models that have been estimated using Household Expenditure Surveys (HESs). In an application to Morocco, where the latest official poverty rate is for 2007, estimates of poverty are obtained for all years (and quarters) between 2001 and 2009. It is found that the approach accurately reproduces the official poverty statistics for the two years these surveys are available. The imputation-based estimates furthermore reveal that poverty has consistently declined over the entire 2001–2009 period. This would suggest that poverty reduction in Morocco was not halted by the global financial crisis. While our focus is on head-count poverty, the method can be applied to any welfare indicator that is a function of household income or expenditure, such as the poverty gap or the Gini index of inequality.

Suggested Citation

  • 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.
    • Handle: RePEc:oup:wbecrv:v:30:y:2016:i:3:p:475-500.
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    1. 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.
    2. Natalia Evgenevna Antonova, 2007. "The international scientific conference «Economic Cooperation between the Russian Far East and the Asia-Pacific Region Countries»," Spatial Economics=Prostranstvennaya Ekonomika, Economic Research Institute, Far Eastern Branch, Russian Academy of Sciences (Khabarovsk, Russia), issue 2, pages 177-182.
    3. repec:pri:rpdevs:deaton_price_trends_in_india_version_3_jan_08_all.pdf is not listed on IDEAS
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    More about this item

    JEL classification:

    • D6 - Microeconomics - - Welfare Economics
    • H53 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Welfare Programs
    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty
    • R13 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General Equilibrium and Welfare Economic Analysis of Regional Economies

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