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Targeting Maps: An Asset-Based Approach to Geographic Targeting

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  • Lang, Corey
  • Barrett, Christopher B.
  • Naschold, Felix

Abstract

Proper targeting of policy interventions requires reasonable estimates of the benefits of the alternative options. To inform such decisions, we develop an integrated approach stemming from the small-area estimation literature that estimates the marginal returns to a range of assets across geographically defined subpopulations. We create a series of maps that can be overlaid with traditional poverty maps to identify strong candidate areas for intervention, though an efficiency/equity tradeoff sometimes exists. We apply our method using recent Ugandan data. Results are consistent with independent empirical findings and suggest asset specific transfer schemes would improve with a spatially targeted strategy.

Suggested Citation

  • Lang, Corey & Barrett, Christopher B. & Naschold, Felix, 2013. "Targeting Maps: An Asset-Based Approach to Geographic Targeting," World Development, Elsevier, vol. 41(C), pages 232-244.
  • Handle: RePEc:eee:wdevel:v:41:y:2013:i:c:p:232-244
    DOI: 10.1016/j.worlddev.2012.06.006
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    References listed on IDEAS

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    Cited by:

    1. Lønborg, Jonas Helth & Rasmussen, Ole Dahl, 2014. "Can Microfinance Reach the Poorest: Evidence from a Community-Managed Microfinance Intervention," World Development, Elsevier, vol. 64(C), pages 460-472.
    2. Tesfaye, Kindie & Sonder, Kai & Cairns, Jill & Magorokosho, Cosmos & Tarekegn, Amsal & Kassie, Girma T. & Getaneh, Fite & Abdoulaye, Tahirou & Abate, Tsedeke & Erenstein, Olaf, 2016. "Targeting Drought-Tolerant Maize Varieties in Southern Africa: A Geospatial Crop Modeling Approach Using Big Data," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association (IFAMA), vol. 19(A).

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