Micro-level Estimation of Child Malnutrition Indicators and Its Application in Cambodia
One of the major limitations in addressing child malnutrition is lack of information that could be used to target resources. By combining demographic and health survey (DHS) and population census data, the author disaggregates the estimates of the prevalence of child malnutrition in Cambodia from cu...
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2012
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Online Access: | http://documents.worldbank.org/curated/en/2005/07/6054363/micro-level-estimation-child-malnutrition-indicators-application-cambodia http://hdl.handle.net/10986/8206 |
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okr-10986-82062021-04-23T14:02:43Z Micro-level Estimation of Child Malnutrition Indicators and Its Application in Cambodia Fujii, Tomoki ADOLESCENCE AGED BIRTH INTERVALS CHILD CARE CHILD HEALTH CHILD HEALTH INDICATORS CHILD MALNUTRITION CHILD NUTRITION CHILD NUTRITIONAL STATUS CHILDBEARING CLIMATE CLINICS CORRELATIONS DATA COLLECTION DIARRHEA ECONOMISTS EMPLOYMENT ESTIMATORS FAMILIES FINANCIAL SUPPORT FOOD SECURITY GIRLS HEALTH CARE HEALTH INDICATORS HEALTH OUTCOMES HEALTH PROGRAMS HOUSING INCOME INCOME DISTRIBUTION INFANT MORTALITY INFECTIOUS DISEASES INTERVENTION LOW INCOME MALARIA MALNUTRITION METHODOLOGY MIGRATION MORBIDITY MORTALITY NUTRITION OUTCOMES NUTRITION PROGRAMS NUTRITION STATUS NUTRITIONAL STATUS NUTRITIONISTS POLICY RESEARCH PREVALENCE OF MALNUTRITION PRODUCTIVITY PUBLIC HEALTH RELIABILITY RESEARCH WORKING PAPERS RESEARCHERS SEVERE CHILD MALNUTRITION SIMULATION SIMULATIONS STUNTING SURVEY DATA UNDERNUTRITION UNITS OF ANALYSIS VARIABILITY WASTING One of the major limitations in addressing child malnutrition is lack of information that could be used to target resources. By combining demographic and health survey (DHS) and population census data, the author disaggregates the estimates of the prevalence of child malnutrition in Cambodia from currently available 17 DHS strata into 1,594 communes. The methodology is built on the small-area estimation technique developed by Elbers, Lanjouw, and Lanjouw. The author extends it to jointly estimate multiple indicators and to allow for a richer structure of error terms. Average standard errors for the commune-level estimates in this study were about 4 percent, a magnitude comparable to those for stratum-level estimates derived from DHS only. The author demonstrates three applications of these estimates. First, he explores the relationship between malnutrition, consumption poverty, and inequality. The nonlinear effects of consumption on nutritional status of children are a key component of the relationship. Second, he conducts a decomposition analysis of health inequality and finds that the between-location share of health inequality is lower than with consumption inequality. Finally, he evaluates the potential gains from geographic targeting. The author finds that the savings in the cost of a nutrition program from commune-level targeting is on average at least two to three times higher than that from stratum-level targeting when the per capita cost of the program is fixed. 2012-06-15T20:26:23Z 2012-06-15T20:26:23Z 2005-07 http://documents.worldbank.org/curated/en/2005/07/6054363/micro-level-estimation-child-malnutrition-indicators-application-cambodia http://hdl.handle.net/10986/8206 English Policy Research Working Paper; No. 3662 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank World Bank, Washington, DC Publications & Research :: Policy Research Working Paper Publications & Research East Asia and Pacific Cambodia |
repository_type |
Digital Repository |
institution_category |
Foreign Institution |
institution |
Digital Repositories |
building |
World Bank Open Knowledge Repository |
collection |
World Bank |
language |
English |
topic |
ADOLESCENCE AGED BIRTH INTERVALS CHILD CARE CHILD HEALTH CHILD HEALTH INDICATORS CHILD MALNUTRITION CHILD NUTRITION CHILD NUTRITIONAL STATUS CHILDBEARING CLIMATE CLINICS CORRELATIONS DATA COLLECTION DIARRHEA ECONOMISTS EMPLOYMENT ESTIMATORS FAMILIES FINANCIAL SUPPORT FOOD SECURITY GIRLS HEALTH CARE HEALTH INDICATORS HEALTH OUTCOMES HEALTH PROGRAMS HOUSING INCOME INCOME DISTRIBUTION INFANT MORTALITY INFECTIOUS DISEASES INTERVENTION LOW INCOME MALARIA MALNUTRITION METHODOLOGY MIGRATION MORBIDITY MORTALITY NUTRITION OUTCOMES NUTRITION PROGRAMS NUTRITION STATUS NUTRITIONAL STATUS NUTRITIONISTS POLICY RESEARCH PREVALENCE OF MALNUTRITION PRODUCTIVITY PUBLIC HEALTH RELIABILITY RESEARCH WORKING PAPERS RESEARCHERS SEVERE CHILD MALNUTRITION SIMULATION SIMULATIONS STUNTING SURVEY DATA UNDERNUTRITION UNITS OF ANALYSIS VARIABILITY WASTING |
spellingShingle |
ADOLESCENCE AGED BIRTH INTERVALS CHILD CARE CHILD HEALTH CHILD HEALTH INDICATORS CHILD MALNUTRITION CHILD NUTRITION CHILD NUTRITIONAL STATUS CHILDBEARING CLIMATE CLINICS CORRELATIONS DATA COLLECTION DIARRHEA ECONOMISTS EMPLOYMENT ESTIMATORS FAMILIES FINANCIAL SUPPORT FOOD SECURITY GIRLS HEALTH CARE HEALTH INDICATORS HEALTH OUTCOMES HEALTH PROGRAMS HOUSING INCOME INCOME DISTRIBUTION INFANT MORTALITY INFECTIOUS DISEASES INTERVENTION LOW INCOME MALARIA MALNUTRITION METHODOLOGY MIGRATION MORBIDITY MORTALITY NUTRITION OUTCOMES NUTRITION PROGRAMS NUTRITION STATUS NUTRITIONAL STATUS NUTRITIONISTS POLICY RESEARCH PREVALENCE OF MALNUTRITION PRODUCTIVITY PUBLIC HEALTH RELIABILITY RESEARCH WORKING PAPERS RESEARCHERS SEVERE CHILD MALNUTRITION SIMULATION SIMULATIONS STUNTING SURVEY DATA UNDERNUTRITION UNITS OF ANALYSIS VARIABILITY WASTING Fujii, Tomoki Micro-level Estimation of Child Malnutrition Indicators and Its Application in Cambodia |
geographic_facet |
East Asia and Pacific Cambodia |
relation |
Policy Research Working Paper; No. 3662 |
description |
One of the major limitations in addressing child malnutrition is lack of information that could be used to target resources. By combining demographic and health survey (DHS) and population census data, the author disaggregates the estimates of the prevalence of child malnutrition in Cambodia from currently available 17 DHS strata into 1,594 communes. The methodology is built on the small-area estimation technique developed by Elbers, Lanjouw, and Lanjouw. The author extends it to jointly estimate multiple indicators and to allow for a richer structure of error terms. Average standard errors for the commune-level estimates in this study were about 4 percent, a magnitude comparable to those for stratum-level estimates derived from DHS only. The author demonstrates three applications of these estimates. First, he explores the relationship between malnutrition, consumption poverty, and inequality. The nonlinear effects of consumption on nutritional status of children are a key component of the relationship. Second, he conducts a decomposition analysis of health inequality and finds that the between-location share of health inequality is lower than with consumption inequality. Finally, he evaluates the potential gains from geographic targeting. The author finds that the savings in the cost of a nutrition program from commune-level targeting is on average at least two to three times higher than that from stratum-level targeting when the per capita cost of the program is fixed. |
format |
Publications & Research :: Policy Research Working Paper |
author |
Fujii, Tomoki |
author_facet |
Fujii, Tomoki |
author_sort |
Fujii, Tomoki |
title |
Micro-level Estimation of Child Malnutrition Indicators and Its Application in Cambodia |
title_short |
Micro-level Estimation of Child Malnutrition Indicators and Its Application in Cambodia |
title_full |
Micro-level Estimation of Child Malnutrition Indicators and Its Application in Cambodia |
title_fullStr |
Micro-level Estimation of Child Malnutrition Indicators and Its Application in Cambodia |
title_full_unstemmed |
Micro-level Estimation of Child Malnutrition Indicators and Its Application in Cambodia |
title_sort |
micro-level estimation of child malnutrition indicators and its application in cambodia |
publisher |
World Bank, Washington, DC |
publishDate |
2012 |
url |
http://documents.worldbank.org/curated/en/2005/07/6054363/micro-level-estimation-child-malnutrition-indicators-application-cambodia http://hdl.handle.net/10986/8206 |
_version_ |
1764407498873241600 |