Production and Learning in Teams

IF 6.6 1区 经济学 Q1 ECONOMICS
Econometrica Pub Date : 2024-03-19 DOI:10.3982/ECTA16748
Kyle Herkenhoff, Jeremy Lise, Guido Menzio, Gordon M. Phillips
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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.

团队中的生产和学习
工人的人力资本增长在多大程度上受同事素质的影响?为了回答这个问题,我们建立并估算了一个模型,在这个模型中,个人的生产率和人力资本增长取决于其同事的平均人力资本。测算出的生产函数是超模态的:知识更丰富的个人的边际产品随其同事人力资本的增加而增加。计量的人力资本积累函数是凸函数:只有与知识更丰富的同事配对时,个人的人力资本增长才会随同事人力资本的增加而增加,但与知识较少的同事配对时,个人的人力资本增长则与同事的人力资本无关。从同事那里学到的知识占工作中积累的人力资本存量的三分之二。增加生产超模性的技术变革会导致劳动力市场隔离,并通过减少低人力资本工人向更好的同事学习的机会,导致总体人力资本和产出下降。
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来源期刊
Econometrica
Econometrica 社会科学-数学跨学科应用
CiteScore
11.00
自引率
3.30%
发文量
75
审稿时长
6-12 weeks
期刊介绍: Econometrica publishes original articles in all branches of economics - theoretical and empirical, abstract and applied, providing wide-ranging coverage across the subject area. It promotes studies that aim at the unification of the theoretical-quantitative and the empirical-quantitative approach to economic problems and that are penetrated by constructive and rigorous thinking. It explores a unique range of topics each year - from the frontier of theoretical developments in many new and important areas, to research on current and applied economic problems, to methodologically innovative, theoretical and applied studies in econometrics. Econometrica maintains a long tradition that submitted articles are refereed carefully and that detailed and thoughtful referee reports are provided to the author as an aid to scientific research, thus ensuring the high calibre of papers found in Econometrica. An international board of editors, together with the referees it has selected, has succeeded in substantially reducing editorial turnaround time, thereby encouraging submissions of the highest quality. We strongly encourage recent Ph. D. graduates to submit their work to Econometrica. Our policy is to take into account the fact that recent graduates are less experienced in the process of writing and submitting papers.
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