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How Well Can We Target Aid with Rapidly Collected Data? Empirical Results for Poverty Mapping from Cambodia

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  • Fujii, Tomoki
Abstract
Summary We compare commune-level poverty rankings in Cambodia based on three different methods: small-area estimation, principal component analysis using aggregate data, and interviews with local leaders. While they provide reasonably consistent rankings, the choice of the ranking method matters. In order to assess the potential losses from moving away from census-based poverty mapping, we used the concentration curve. Our calculation shows that about three-quarters of the potential gains from geographic targeting may be lost by using aggregate data. The usefulness of aggregate data in general would depend on the cost of data collection.

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  • Fujii, Tomoki, 2008. "How Well Can We Target Aid with Rapidly Collected Data? Empirical Results for Poverty Mapping from Cambodia," World Development, Elsevier, vol. 36(10), pages 1830-1842, October.
    • Handle: RePEc:eee:wdevel:v:36:y:2008:i:10:p:1830-1842
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    References listed on IDEAS

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    1. Tomoki Fujii, 2004. "Commune-Level Estimation of Poverty Measures and its Application in Cambodia," WIDER Working Paper Series RP2004-48, World Institute for Development Economic Research (UNU-WIDER).
    2. Elbers, Chris & Lanjouw, Jean O. & Lanjouw, Peter, 2002. "Micro-level estimation of welfare," Policy Research Working Paper Series 2911, The World Bank.
    3. Elbers, Chris & Fujii, Tomoki & Lanjouw, Peter & Ozler, Berk & Yin, Wesley, 2007. "Poverty alleviation through geographic targeting: How much does disaggregation help?," Journal of Development Economics, Elsevier, vol. 83(1), pages 198-213, May.
    4. Tara Bedi & Aline Coudouel & Kenneth Simler, 2007. "More Than a Pretty Picture : Using Poverty Maps to Design Better Policies and Interventions," World Bank Publications - Books, The World Bank Group, number 6800.
    5. Fujii, Tomoki, 2005. "Micro-level estimation of child malnutrition indicators and its application in Cambodia," Policy Research Working Paper Series 3662, The World Bank.
    6. Chris Elbers & Peter Lanjouw & Johan A. Mistiaen & Berk Özler & Kenneth Simler, 2003. "Are Neighbours Equal? Estimating Local Inequality in Three Developing Countries," WIDER Working Paper Series DP2003-52, World Institute for Development Economic Research (UNU-WIDER).
    7. Chris Elbers & Jean O. Lanjouw & Peter Lanjouw, 2003. "Micro--Level Estimation of Poverty and Inequality," Econometrica, Econometric Society, vol. 71(1), pages 355-364, January.
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    1. Tomoki Fujii, 2013. "Geographic decomposition of inequality in health and wealth: evidence from Cambodia," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 11(3), pages 373-392, September.
    2. Hannes Öhler & Mario Negre & Lodewijk Smets & Renzo Massari & Željko Bogetić, 2019. "Putting your money where your mouth is: Geographic targeting of World Bank projects to the bottom 40 percent," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-19, June.
    3. Tomoki Fujii, 2019. "Regional prevalence of health worker absenteeism in Tanzania," Health Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 311-316, February.
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    5. Dhongde, Shatakshee, 2017. "Measuring Segregation of the Poor: Evidence from India," World Development, Elsevier, vol. 89(C), pages 111-123.

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