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The Reliability of Small Area Estimation Prediction Methods to Track Poverty

Author

Listed:
  • Luc Christiaensen
  • Peter Lanjouw
  • Jill Luoto
  • David C. Stifel

Abstract

Tracking poverty is predicated on the availability of comparable consumption data and reliable price deflators. However, regular series of strictly comparable data are only rarely available. Poverty prediction methods that track consumption correlates as opposed to consumption itself have been developed to overcome such data gaps. These methods typically assume that the estimated relation between consumption and its predictors is stable over time—assumptions that usually cannot be tested directly.

Suggested Citation

  • Luc Christiaensen & Peter Lanjouw & Jill Luoto & David C. Stifel, 2010. "The Reliability of Small Area Estimation Prediction Methods to Track Poverty," WIDER Working Paper Series wp-2010-099, World Institute for Development Economic Research (UNU-WIDER).
    • Handle: RePEc:unu:wpaper:wp-2010-099
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    File URL: https://www.wider.unu.edu/sites/default/files/wp2010-99.pdf
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    Cited by:

    1. Utz Pape & Luca Parisotto, 2019. "Estimating Poverty in a Fragile Context – The High Frequency Survey in South Sudan," HiCN Working Papers 305, Households in Conflict Network.
    2. Nisrane, Fantu & Berhane, Guush & Asrat, Sinafikeh & Getachew, Gerawork & Taffesse, Alemayehu Seyoum & Hoddinott, John F., 2011. "Sources of inefficiency and growth in agricultural output in subsistence agriculture: A stochastic frontier analysis," ESSP working papers 19, International Food Policy Research Institute (IFPRI).

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