Combining Light Monitoring Surveys with Integrated Surveys to Improve Targeting for Poverty Reduction: The Case of Ghana
AbstractPolicymakers use poverty maps to design and assess poverty programs. The accuracy of these maps, which is critical for targeting, depends largely on the nature of the instrument used to construct them. Recently, in response to tight budget constraints, many countries have begun to construct poverty maps based on light monitoring surveys that rely on short questionnaires. This article shows that poverty maps constructed from such surveys are not accurate and could result in substantial leakage. Light monitoring surveys do include large samples that can help to target poverty programs at subregional levels. Combining these surveys with more detailed Integrated Surveys can help researchers reduce targeting errors significantly and build improved poverty maps with finer levels of disaggregation. Copyright 2000 by Oxford University Press.
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Bibliographic InfoArticle provided by World Bank Group in its journal World Bank Economic Review.
Volume (Year): 14 (2000)
Issue (Month): 1 (January)
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- Fofack, Hippolyte, 2002. "The nature and dynamics of poverty determinants in Burkina Faso in the 1990s," Policy Research Working Paper Series 2847, The World Bank.
- Astrid Mathiassen, 2006. "A Statistical Model for Simple, Fast and Reliable Measurement of Poverty. A revised version of DP 415," Discussion Papers 415, Research Department of Statistics Norway.
- Fofack, Hippolyte & Monga, Celestin & Tuluy, Hasan, 2001. "Household welfare and poverty dynamics in Burkina Faso : empirical evidence from household surveys," Policy Research Working Paper Series 2590, The World Bank.
- Astrid Mathiassen, 2009. "A model based approach for predicting annual poverty rates without expenditure data," Journal of Economic Inequality, Springer, vol. 7(2), pages 117-135, June.
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