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Heterogeneous Treatment Effect on Child Development Outcomes: Application of Machine Learning Approach to Early Year Preschool Program in Bangladesh (103970)

Session Information: Early Childhood and Basic Education
Session Chair: Hyunjae Choi
This presentation will be live-streamed via Zoom (Online Access)

Friday, 27 March 2026 12:25
Session: Session 1
Room: Live-Stream Room 3
Presentation Type: Live-Stream Presentation

All presentation times are UTC + 9 (Asia/Tokyo)
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This study examines the effects of pre-primary education (PPE) in Bangladesh using data from a randomized controlled trial (RCT) of the Early Years Preschool Program (EYPP) involving about 1,800 children. Employing a causal forest approach, it estimates heterogeneous treatment effects across child and family backgrounds. Results show that children from poorer households and with fewer home learning opportunities benefited more across literacy, numeracy, social-emotional, and motor domains. The largest gains were found among children with mid- to low-level baseline skills, suggesting that quality preschool can reduce early developmental inequalities in low- and middle-income contexts.

Authors:
Kohei Uno, Kobe University, Japan


About the Presenter(s)
Kohei Uno, Kobe University

Connect on Linkedin
https://www.linkedin.com/in/kohei-uno

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Posted by James Alexander Gordon

Last updated: 2023-02-23 23:45:00