Econometrica · 2024 · Kyle Herkenhoff、Jeremy Lise、Guido Menzio、Gordon M. Phillips
中文摘要
一名劳动者的人力资本增长在多大程度上受到其同事质量的影响?为回答这一问题,我们构建并估计了一个模型,其中个体的生产率和人力资本增长取决于其同事的平均人力资本。估计得到的生产函数具有超模性:知识水平更高个体的边际产品随其同事人力资本的提高而递增。估计得到的人力资本积累函数具有凸性:只有当个体与知识水平更高的同事搭配时,其人力资本增长才随同事人力资本的提高而增加;而当与知识水平较低的同事搭配时,其人力资本增长则与同事的人力资本无关。向同事学习所形成的人力资本,占在职积累人力资本存量的三分之二。提高生产超模性的技术变革会导致劳动力市场分隔,并因减少了低人力资本劳动者向更优秀同事学习的机会,而导致总体人力资本与产出下降。
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.