Micro-level estimation of child undernutrition indicators in Cambodia
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 rando...
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sg-smu-ink.soe_research-29402020-04-02T06:17:11Z Micro-level estimation of child undernutrition indicators in Cambodia Tomoki FUJII, 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. 2010-12-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/soe_research/1941 info:doi/10.1093/wber/lhq016 https://ink.library.smu.edu.sg/context/soe_research/article/2940/viewcontent/wber_24_3_520.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University Asian Studies Economics Health Economics |
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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. |
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Tomoki FUJII, |
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Tomoki FUJII, |
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Tomoki FUJII, |
title |
Micro-level estimation of child undernutrition indicators in Cambodia |
title_short |
Micro-level estimation of child undernutrition indicators in Cambodia |
title_full |
Micro-level estimation of child undernutrition indicators in Cambodia |
title_fullStr |
Micro-level estimation of child undernutrition indicators in Cambodia |
title_full_unstemmed |
Micro-level estimation of child undernutrition indicators in Cambodia |
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micro-level estimation of child undernutrition indicators in cambodia |
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Institutional Knowledge at Singapore Management University |
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2010 |
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https://ink.library.smu.edu.sg/soe_research/1941 https://ink.library.smu.edu.sg/context/soe_research/article/2940/viewcontent/wber_24_3_520.pdf |
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