This paper studies how demand for labor reacts to financial technology (fintech) shocks based on comprehensive databases of fintech patents and firm job postings in the U.S. during the past decade. We first develop a measure of fintech exposure at the occupation level by intersecting the textual...

We use a unique corpus of job descriptions for C-suite positions to document skills requirements in top managerial occupations across a large sample of firms. A novel algorithm maps the text of each executive search into six separate skill clusters reflecting cognitive, interpersonal, and...

Unemployment arises from frictions in the matching of job-seekers and employers. The level of resources that employers devote to evaluating applicants for jobs is a key factor in the magnitude of the frictions. Unemployment will be low if employers can review applicants cheaply. The cost of...

Because minorities typically fare poorly on standardized tests, job testing is thought to pose an equity-efficiency trade-off: testing improves selection but reduces minority hiring. We develop a conceptual framework to assess when this tradeoff is likely to apply and evaluate the evidence for...

While the cumulative nature of knowledge is recognized as central to economic growth, the microeconomic foundations of cumulativeness are less understood. This paper investigates the impact of a research-enhancing institution on cumulativeness, highlighting two effects. First, a selection effect...

Why did the Black-White wage gap converge from 1960 to 1980 and why has it stagnated since? To answer this question, we introduce a unified model that integrates notions of both taste-based and statistical discrimination into a task-based model of occupational sorting. At the heart of our...

We construct new technology indicators using textual analysis of patent documents and occupation task descriptions that span almost two centuries (1850-2010). At the industry level, improvements in technology are associated with higher labor productivity but a decline in the labor share....

We study the impact of AI on labor markets, using establishment level data on vacancies with detailed occupational information comprising the near-universe of online vacancies in the US from 2010 onwards. We classify establishments as "AI exposed" when their workers engage in tasks that are...

We develop a new methodology for quantifying the tasks undertaken within occupations using over 3,000 verbs from more than 12,000 occupational descriptions in the Dictionary of Occupational Titles (DOTs). Using micro-data from the United States from 1880-2000, we find an increase in the...

We use the labor market for doctorates in the biomedical sciences, where career dislocation is common, as a case study of skill-task mismatch and its consequences. Using longitudinal, worker-level data on biomedical doctorates, we investigate mismatch as an explanation for the negative pecuniary...