Production and Learning in Teams

Kyle Herkenhoff, Jeremy Lise, Guido Menzio, Gordon M. Phillips

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

To what extent is a worker's human capital growth affected by the quality of his coworkers? To answer this question, we develop and estimate a model in which the productivity and the human capital growth of an individual depend on the average human capital of his coworkers. The measured production function is supermodular: The marginal product of a more knowledgeable individual is increasing in the human capital of his coworkers. The measured human capital accumulation function is convex: An individual's human capital growth is increasing in coworkers' human capital only when paired with more knowledgeable coworkers, but independent of coworkers' human capital when paired with less knowledgeable coworkers. Learning from coworkers accounts for two thirds of the stock of human capital accumulated on the job. Technological changes that increase production supermodularity lead to labor market segregation and, by reducing the opportunities for low human capital workers to learn from better coworkers, lead to a decline in aggregate human capital and output.

Original languageEnglish (US)
Pages (from-to)467-504
Number of pages38
JournalEconometrica
Volume92
Issue number2
DOIs
StatePublished - Mar 2024

Bibliographical note

Publisher Copyright:
© 2024 The Econometric Society.

Keywords

  • Human capital
  • knowledge diffusion
  • search frictions

Fingerprint

Dive into the research topics of 'Production and Learning in Teams'. Together they form a unique fingerprint.

Cite this