Growth Lab, Harvard Kennedy School, Harvard University, Cambridge, MA 02138, USA.
Department of Human Geography, Faculty of Social Science, Lund University, Lund, Sweden. Email:
Sci Adv. 2019 Dec 18;5(12):eaax3370. doi: 10.1126/sciadv.aax3370. eCollection 2019 Dec.
As individuals specialize in specific knowledge areas, a society's know-how becomes distributed across different workers. To use this distributed know-how, workers must be coordinated into teams that, collectively, can cover a wide range of expertise. This paper studies the interdependencies among co-workers that result from this process in a population-wide dataset covering educational specializations of millions of workers and their co-workers in Sweden over a 10-year period. The analysis shows that the value of what a person knows depends on whom that person works with. Whereas having co-workers with qualifications similar to one's own is costly, having co-workers with complementary qualifications is beneficial. This co-worker complementarity increases over a worker's career and offers a unifying framework to explain seemingly disparate observations, answering questions such as "Why do returns to education differ so widely?" "Why do workers earn higher wages in large establishments?" "Why are wages so high in large cities?"
随着个人在特定知识领域的专业化,一个社会的专业知识就会分散到不同的劳动者身上。为了利用这种分散的专业知识,劳动者必须被协调成团队,这些团队加起来可以涵盖广泛的专业知识。本文使用涵盖瑞典数百万人及其 10 年内同事教育专业知识的全人群数据集,研究了这一过程中同事之间相互依存的关系。分析表明,一个人所知道的东西的价值取决于他与谁一起工作。虽然与自己资历相似的同事代价高昂,但与具有互补资历的同事合作则有益处。这种同事互补性会随着工人职业生涯的发展而增加,并提供了一个统一的框架来解释看似不同的现象,解答了诸如“为什么教育回报率差异如此之大?”“为什么工人在大机构中赚得更高的工资?”“为什么大城市的工资这么高?”等问题。