The Economics of Scaling Early Childhood Programs: Lessons from The Chicago School
John List
Natural Field Experiments from The Field Experiments Website
Abstract:
Many ideas show remarkable returns in small-scale trials but often disappoint when scaled to broader populations and contexts. Using early childhood investment as a case study, this study develops a dynamic human capital formation model that integrates complementary skill investment with "Option C thinking" on scaling challenges. The model is stylized in the Chicago tradition: micro-founded with optimizing agents, dynamic skill production, and a policymaker evaluating scaling decisions. It formalizes how naive extrapolation from pilot studies systematically overestimates policy efficacy by ignoring "voltage drops," declining treatment effects due to unrepresentativeness at scale. The model demonstrates that optimal scaling policy requires mechanism-based design that anticipates these failures through backward induction from implementation realities. The scientific insights from a set of recent studies provide valuable perspectives on the model.
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://s3.amazonaws.com/fieldexperiments-papers2/papers/00829.pdf
Related works:
Journal Article: The Economics of Scaling Early Childhood Programs: Lessons from the Chicago School (2026) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:feb:natura:00829
Access Statistics for this paper
More papers in Natural Field Experiments from The Field Experiments Website
Bibliographic data for series maintained by Franco Daniel Albino ().