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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Main Author: Fujii, Tomoki
Format: Policy Research Working Paper
Language:English
Published: World Bank, Washington, DC 2012
Subjects:
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
id okr-10986-8206
recordtype oai_dc
spelling 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
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