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摘要
En 中文
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?
Keyword:
PERFORMANCE
KNOWLEDGE
NETWORKS
RETURNS
LABOR
AI总结
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期刊
IF:
12.5
论文数:
2.0W
被引数:
18.1W
机构
引用论文
Evidence for a Collective Intelligence Factor in the Performance of Human Groups集体智慧因素在人类群体表现中的证据
SCIENCE
IF45.8
The Burden of Knowledge and the Death of the Renaissance Man: Is Innovation Getting Harder?知识的负担和文艺复兴人的死亡: 创新越来越难了吗?

