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Generating disaggregated poverty maps

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  • Minot, Nicholas

Abstract

Geographic targeting is often recommended as a way to improve the impact of social spending and infrastructure investments on rural poverty. Previous research shows that such targeting is not very accurate unless the geographic units are small. Household surveys, however, rarely allow the estimation of poverty rates for more than 5-10 regions in a country. This study develops a method for generating disaggregated poverty maps and applies the method to Viet Nam. First, the relationship between rural poverty and 25 household indicators is estimated using household survey data. Then, census data on those same indicators are used to estimate the poverty rates for each of the 543 rural districts in Viet Nam. The results indicate that poverty is concentrated in the north and in districts furthest from the coast and cities.

Suggested Citation

  • Minot, Nicholas, 1998. "Generating disaggregated poverty maps," MTID discussion papers 25, International Food Policy Research Institute (IFPRI).
  • Handle: RePEc:fpr:mtiddp:25
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    References listed on IDEAS

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    1. Besley, Timothy, 1990. "Means Testing versus Universal Provision in Poverty Alleviation Programmes," Economica, London School of Economics and Political Science, vol. 57(225), pages 119-129, February.
    2. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-766, May.
    3. Grosh, M.E. & Munoz, J., 1996. "A Manual for Planning and Implementing the Living Standards Measurement Study Survey," Papers 126, World Bank - Living Standards Measurement.
    4. Ravallion, Martin & Chao, Kalvin, 1989. "Targeted policies for poverty alleviation under imperfect information: Algorithms and applications," Journal of Policy Modeling, Elsevier, vol. 11(2), pages 213-224.
    5. Glewwe, P., 1990. "Efficient Allocation Of Transfers To The Poor: The Problem Of Unobserved Household Income," Papers 70, World Bank - Living Standards Measurement.
    6. Baker, Judy L. & Grosh, Margaret E., 1994. "Poverty reduction through geographic targeting: How well does it work?," World Development, Elsevier, vol. 22(7), pages 983-995, July.
    7. Besley, Timothy & Kanbur, Ravi, 1990. "The principles of targeting," Policy Research Working Paper Series 385, The World Bank.
    8. Datt, Gaurav*Ravallion, Martin, 1990. "Regional disparities, targeting, and poverty in India," Policy Research Working Paper Series 375, The World Bank.
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    Citations

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    Cited by:

    1. Fujii, Tomoki, 2004. "Commune-Level Estimation of Poverty Measures and its Application in Cambodia," WIDER Working Paper Series 048, World Institute for Development Economic Research (UNU-WIDER).
    2. Gabre-Madhin, Eleni Z. & Haggblade, Steven, 2003. "Successes in African agriculture," MSSD discussion papers 53, International Food Policy Research Institute (IFPRI).
    3. Nicholas Minot & Bob Baulch, 2005. "Poverty Mapping with Aggregate Census Data: What is the Loss in Precision?," Review of Development Economics, Wiley Blackwell, vol. 9(1), pages 5-24, February.
    4. Dominique van de Walle, 2003. "Are Returns to Investment Lower for the Poor? Human and Physical Capital Interactions in Rural Vietnam," Review of Development Economics, Wiley Blackwell, vol. 7(4), pages 636-653, November.
    5. Minot, Nicholas & Baulch, Bob, 2005. "Spatial patterns of poverty in Vietnam and their implications for policy," Food Policy, Elsevier, vol. 30(5-6), pages 461-475.

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