One 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 surveyonly 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. Cambodia, nutrition map, small-area estimation, targeting, undernutrition. © The Author 2010. Published by Oxford University Press on behalf of the International Bank for Reconstruction and Development/THE WORLD BANK. All rights reserved.
Asian Studies | Economics | Health Economics
World Bank Economic Review
Oxford University Press (OUP): Policy J - Oxford Open Option E
Micro-level estimation of child undernutrition indicators in Cambodia. (2010). World Bank Economic Review. 24, (3), 520-553. Research Collection School Of Economics.
Available at: http://ink.library.smu.edu.sg/soe_research/1941
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