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Advancing Small Area Estimation

Author

Listed:
  • Channing Arndt
  • Azhar Hussain
  • Vincenzo Salvucci
  • Finn Tarp
  • Lars Peter Østerdal

Abstract

The poverty mapping methodology for estimating welfare rankings from small areas has proven to be useful in guiding allocation of government funds, regional planning, and general policy formulation. Nevertheless, poverty mapping also suffers from a series of by now well recognized shortcomings. We apply an approach based on first order dominance (FOD) to small area estimation. Five advantages to the FOD approach are highlighted. First, it can serve as a complement to, substitute for, and/or extension of the poverty mapping methodology.

Suggested Citation

  • Channing Arndt & Azhar Hussain & Vincenzo Salvucci & Finn Tarp & Lars Peter Østerdal, 2013. "Advancing Small Area Estimation," WIDER Working Paper Series wp-2013-053, World Institute for Development Economic Research (UNU-WIDER).
    • Handle: RePEc:unu:wpaper:wp-2013-053
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    References listed on IDEAS

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    Cited by:

    1. Helen Barnes & Vanda Castelo & Finório Castigo & António S. Cruz & Michell Mpike & Michael Noble & Gemma Wright, 2016. "Tax-benefit microsimulation modelling in Mozambique: A feasibility study," WIDER Working Paper Series wp-2016-27, World Institute for Development Economic Research (UNU-WIDER).
    2. Kristi Mahrt & Malokele Nanivazo, 2015. "Estimating multidimensional childhood poverty in the Democratic Republic of Congo, 2007 through 2013," WIDER Working Paper Series wp-2015-131, World Institute for Development Economic Research (UNU-WIDER).

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