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Determinants of Child Malnutrition in Ethiopia
Last registered on July 24, 2020

Pre-Trial

Trial Information
General Information
Title
Determinants of Child Malnutrition in Ethiopia
RCT ID
AEARCTR-0006227
Initial registration date
July 24, 2020
Last updated
July 24, 2020 12:04 PM EDT
Location(s)
Region
Primary Investigator
Affiliation
Dire Dawa University
Other Primary Investigator(s)
Additional Trial Information
Status
Completed
Start date
2019-10-14
End date
2020-06-30
Secondary IDs
Abstract
Abstract
Child malnutrition is one of the most serious problems in the developing world including Ethiopia. Recent survey in the country shows that 13% of children are wasted and 52% are stunted. However, underlying variations of these nutritional indicators and determinant factors is poorly understood. The data used come from Young Lives, a longitudinal study of childhood poverty that is tracking the lives of 12,000 children in Ethiopia, India (Andhra Pradesh), Peru and Vietnam over a 15-year period. The data were analyzed and discussed using several descriptive statistics .And at cross-section levels by using OLS and community fixed effect regressions and at panel level by using fixed effect models. The estimation results indicate that child nutritional status is strongly associated with the wealth/income, mother’s education, child’s age, gender and land owned by household, household size, water source and food price shocks. The paper concludes by highlighting some policy interventions required to raise child nutrition status.
Key Words: Anthropometric Measures, malnutrition, Young Lives, Ethiopia
External Link(s)
Registration Citation
Citation
Girma, Getnet. 2020. "Determinants of Child Malnutrition in Ethiopia." AEA RCT Registry. July 24. https://doi.org/10.1257/rct.6227-1.0.
Experimental Details
Interventions
Intervention(s)
Intervention Start Date
2020-04-16
Intervention End Date
2020-06-30
Primary Outcomes
Primary Outcomes (end points)
cause of child malnutrition
Primary Outcomes (explanation)
Improving child feeding system.
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
panel data processing
Experimental Design Details
Randomization Method
Public lottery
Randomization Unit
country and community
Was the treatment clustered?
Yes
Experiment Characteristics
Sample size: planned number of clusters
8 community
Sample size: planned number of observations
2000 children
Sample size (or number of clusters) by treatment arms
8 community controled
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
IRB Approval Date
IRB Approval Number
Post-Trial
Post Trial Information
Study Withdrawal
Intervention
Is the intervention completed?
No
Is data collection complete?
Data Publication
Data Publication
Is public data available?
No
Program Files
Program Files
Reports, Papers & Other Materials
Relevant Paper(s)
REPORTS & OTHER MATERIALS