Micro-Level Estimation of Child Undernutrition Indicators in Cambodia
AbstractOne major limitation to addressing child undernutrition is a lack of the information required to target resources. This article extends the small-area estimation technique of Elbers, Lanjouw, and Lanjouw (2002, 2003) to jointly estimate multiple equations while allowing for individual-specific random errors across equations (in addition to cluster- and household-specific random errors). Estimates of the prevalence of stunting and underweight for children under age 5 in Cambodia from 17 Demographic and Health Survey strata are disaggregated into 1,594 communes by combining the Demographic and Health Survey data. The estimates are consistent with the survey-only estimates at the aggregate and primary sampling unit levels. The accuracy of the commune-level estimates is comparable to the survey-only estimates at the stratum level. The results are robust, and the estimates are useful for policy analysis and formulation. The small-area estimates can be presented in various ways. The strengths of each representation are also discussed. Copyright , Oxford University Press.
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Bibliographic InfoArticle provided by World Bank Group in its journal The World Bank Economic Review.
Volume (Year): 24 (2010)
Issue (Month): 3 (December)
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- Céline Ferré & Francisco H.G. Ferreira & Peter Lanjouw, 2011.
"Is there a metropolitan bias? The inverse relationship between poverty and city size in selected developing countries,"
192, ECINEQ, Society for the Study of Economic Inequality.
- Ferre, Celine & Ferreira, Francisco H.G. & Lanjouw, Peter, 2010. "Is there a metropolitan bias ? the inverse relationship between poverty and city size in selected developing countries," Policy Research Working Paper Series 5508, The World Bank.
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