This paper investigates the weekly evolution of child skills as measured by unique data from a widely-emulated early childhood home-visiting program developed in Jamaica, adapted to rural China, and applied in different versions worldwide. The design of the study avoids problems of endogeneity of inputs and lack of truly comparable measures of skills across children that plague previous econometric studies of child development. Skills that are nominally classified as the same, in fact, do not appear to share a common unit scale across levels. They are produced by skill-specific, lifecycle-stage-specific technologies. We formulate and estimate a new dynamic stochastic skill production model for multiple skills that is consistent with the evidence. We quantify the dynamics of early life learning. The model explains the “fadeout” of measures of learning by the emergence of new skills not properly measured. We investigate the role of ability in learning. We find important differences in learning patterns between boys and girls.

More on this topic

BFI Working Paper·Aug 14, 2026

A Novel Assessment of Epistemic Curiosity and its Association With Early Learning Outcomes

Ariel Kalil, Mauricio Koechlin, Dana McCoy, Michelle Michelini, and Terri Sabol
Topics: Early Childhood Education
BFI Working Paper·Jun 10, 2026

The Enjoyment Paradox: College-Educated Mothers Invest More in Their Children’s Learning and Enjoy It Less

Ariel Kalil, Haoxuan Liu, and Ritika Sethi
Topics: Early Childhood Education, Employment & Wages, Higher Education & Workforce Training
BFI Working Paper·Jun 8, 2026

Leveraging Artificial Intelligence and Field Experiments to Explore Novel Features of Parental Speech and Foster Child Development

Julie Pernaudet, John List, Arnoldo Müller-Molina, Majid Ahmadi, Imrul Huda, Ajay Sailopal, and Dana Suskind
Topics: Early Childhood Education