Causal effects of Antenatal Care (ANC) on child malnutrition: a machine learning approach in Ethiopia and Rwanda
Alehegn Moges Tessema, Temesgen Zewotir, Richard Kabanda · 2025
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Description
Alehegn Tessema, Temesgen Zewotir, and Richard Kabanda estimate causal effects of antenatal care on child malnutrition in Ethiopia and Rwanda with machine learning. Nearly half the children in the study population show at least one form of undernutrition. Data cover 33,737 mother child pairs from health surveys across three waves from 2005 to 2015.
A causal forest model estimates how effects vary across social and health subgroups, beyond what classic regression can show. A clear dose response appears. One visit has negligible effect, two to three visits cut malnutrition risk modestly, and four or more visits cut it most on average. Benefits are far larger for the most vulnerable families, a policy relevant pattern the average hides.
Catalog record
| CREATOR | Alehegn Moges Tessema, Temesgen Zewotir, Richard Kabanda |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 79 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |