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Small Area Estimation of Child Malnutrition in Ethiopian Woredas / Thomas Pave Sohnesen.
World Bank Open Knowledge Repository (formerly "World Bank E-Library Publications") Available online
View online- Format:
- Book
- Government document
- Author/Creator:
- Sohnesen, Thomas Pave.
- Series:
- Policy research working papers.
- World Bank e-Library.
- Language:
- English
- Subjects (All):
- Adolescent Health.
- Child Malnutrition.
- Demographic and Health Survey.
- Early Child and Children's Health.
- Health Monitoring and Evaluation.
- Health, Nutrition and Population.
- Population and Development.
- Small Area Estimation.
- Targeting.
- Local Subjects:
- Adolescent Health.
- Child Malnutrition.
- Demographic and Health Survey.
- Early Child and Children's Health.
- Health Monitoring and Evaluation.
- Health, Nutrition and Population.
- Population and Development.
- Small Area Estimation.
- Targeting.
- Physical Description:
- 1 online resource (30 pages)
- Place of Publication:
- Washington, D.C. : The World Bank, 2016.
- System Details:
- data file
- Summary:
- Reducing child undernutrition is a key social policy objective of the Ethiopian government. espite substantial reduction over the past decade and a half, child undernutrition is still high. With 48 percent of children stunted, underweight, or wasted, undernutrition remains an important child health challenge. The existing literature highlights that the targeting of efforts to reduce undernutrition in Ethiopia is inefficient, in part because of the lack of data and updated information. This paper remedies some of this shortfall by estimating levels of stunting and underweight in each woreda for 2014. The estimates are small area estimations based on the 2014 emographic and Health Survey and the latest population census. It is shown that small area estimations are powerful predictors of undernutrition, even controlling for household characteristics, such as wealth and education, and hence a valuable targeting metric. The results show large variations in share of children undernourished in each region, more than between regions. The results also show that the locations with larger challenges depend on the chosen undernutrition statistic, as the share, number, and concentration of undernourished children point to vastly different locations. There is limited correlation between the shares of children underweight and stunted across woredas, indicating that different locations face different challenges.
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