How Well Can We Target Aid with Rapidly Collected Data? Empirical Results for Poverty Mapping from Cambodia
AbstractSummary 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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Bibliographic InfoArticle provided by Elsevier in its journal World Development.
Volume (Year): 36 (2008)
Issue (Month): 10 (October)
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Web page: http://www.elsevier.com/locate/worlddev
Cambodia Asia poverty small-area estimation principal component targeting;
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- Tara Bedi & Aline Coudouel & Kenneth Simler, 2007. "More Than a Pretty Picture : Using Poverty Maps to Design Better Policies and Interventions," World Bank Publications, The World Bank, number 6800, July.
- 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.
- Fujii, Tomoki, 2005. "Micro-level estimation of child malnutrition indicators and its application in Cambodia," Policy Research Working Paper Series 3662, The World Bank.
- 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.
- Elbers, Chris & Tomoki Fujii & Lanjouw, Peter & Ozler, Berk & Yin, Wesley, 2004. "Poverty alleviation through geographic targeting : how much does disaggregation help?," Policy Research Working Paper Series 3419, The World Bank.
- Elbers, Chris & Lanjouw, Peter & Mistiaen, Johan & Ozler, Berk & Simler, Kenneth, 2003. "Are Neighbours Equal? Estimating Local Inequality in Three Developing Countries," Working Paper Series UNU-WIDER Research Paper , World Institute for Development Economic Research (UNU-WIDER).
- Coleman, Simeon, 2012. "Where Does the Axe Fall? Inflation Dynamics and Poverty Rates: Regional and Sectoral Evidence for Ghana," World Development, Elsevier, vol. 40(12), pages 2454-2467.
- Tomoki Fujii, 2013.
"Geographic decomposition of inequality in health and wealth: evidence from Cambodia,"
Journal of Economic Inequality,
Springer, vol. 11(3), pages 373-392, September.
- Tomoki Fujii, 2007. "Geographic Decomposition of Inequality in Health and Wealth : Evidence from Cambodia," Microeconomics Working Papers 22418, East Asian Bureau of Economic Research.
- Tomoki Fujii, 2007. "Geographic Decomposition of Inequality in Health and Wealth: Evidence from Cambodia," Working Papers 24-2007, Singapore Management University, School of Economics.
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