A Partial Identification Approach to Identifying the Determinants of Human Capital Accumulation: An Application to Teachers

ABSTRACT This paper views career growth in teacher quality through the lens of human capital theory to understand the roles of on‐the‐job training (OJT) and learning by doing (LBD) in human capital formation. If OJT is the primary determinant of human capital, incentive pay policies could create a dynamic multitasking problem, leading teachers to reduce their human capital investments, thereby lowering future student achievement. In contrast, teacher human capital and future achievement would both increase if LBD were the dominant force. To explore this, I develop explicit bounds on components of a human capital production function allowing for both channels, which I estimate using experimental variation from publicly available data from a teacher incentive pay experiment in Kenya. I find that LBD is present and also estimate an informative upper bound on the OJT component. This suggests that dynamic multitasking, while theoretically relevant, may have limited practical significance, at least in this context.

Authors

Institutions

Publication Details

Journal
Journal of Applied Econometrics
Published
2025-05-19
DOI
https://doi.org/10.1002/jae.3131
Primary Topic
School Choice and Performance
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Partial Identification Approach to Identifying the Determinants of Human Capital Accumulation: An Application to Teachers

Nirav Mehta
Journal of Applied Econometrics
School Choice and Performance
article

A Partial Identification Approach to Identifying the Determinants of Human Capital Accumulation: An Application to Teachers

Nirav Mehta
article en

Abstract

ABSTRACT This paper views career growth in teacher quality through the lens of human capital theory to understand the roles of on‐the‐job training (OJT) and learning by doing (LBD) in human capital formation. If OJT is the primary determinant of human capital, incentive pay policies could create a dynamic multitasking problem, leading teachers to reduce their human capital investments, thereby lowering future student achievement. In contrast, teacher human capital and future achievement would both increase if LBD were the dominant force. To explore this, I develop explicit bounds on components of a human capital production function allowing for both channels, which I estimate using experimental variation from publicly available data from a teacher incentive pay experiment in Kenya. I find that LBD is present and also estimate an informative upper bound on the OJT component. This suggests that dynamic multitasking, while theoretically relevant, may have limited practical significance, at least in this context.

Journal of Applied EconometricsVol. 40(6)
Western University (CA)
Social Sciences and Humanities Research Council of Canada
Openalex Percentile: Top 89%
School Choice and Performance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.