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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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    File URL: https://www.wider.unu.edu/sites/default/files/WP2013-053.pdf
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    References listed on IDEAS

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    4. Channing Arndt & M. Azhar Hussain & E. Samuel Jones & Virgulino Nhate & Finn Tarp & James Thurlow, 2013. "Explaining the Evolution of Poverty: The Case of Mozambique," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(1), pages 206-206.
    5. Alfani, Federica & Azzarri, Carlo & d'Errico, Marco & Molini, Vasco, 2012. "Poverty in Mozambique : new evidence from recent household surveys," Policy Research Working Paper Series 6217, The World Bank.
    6. Østerdal, Lars Peter, 2010. "The mass transfer approach to multivariate discrete first order stochastic dominance: Direct proof and implications," Journal of Mathematical Economics, Elsevier, vol. 46(6), pages 1222-1228, November.
    7. Elbers, Chris & Lanjouw, Peter & Leite, Phillippe George, 2008. "Brazil within Brazil : testing the poverty map methodology in Minas Gerais," Policy Research Working Paper Series 4513, The World Bank.
    8. François Bourguignon & Satya R. Chakravarty, 2019. "The Measurement of Multidimensional Poverty," Themes in Economics, in: Satya R. Chakravarty (ed.), Poverty, Social Exclusion and Stochastic Dominance, pages 83-107, Springer.
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    12. Grant, Simon & Kajii, Atsushi & Polak, Ben, 1992. "Many good choice Axioms: When can many-good lotteries be treated as money lotteries?," Journal of Economic Theory, Elsevier, vol. 56(2), pages 313-337, April.
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    Cited by:

    1. 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).
    2. 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).

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