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...

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...

This paper develops a simple equilibrium model of CEO pay. CEOs have different talents and are matched to firms in a competitive assignment model. In market equilibrium, a CEO's pay changes one for one with aggregate firm size, while changing much less with the size of his own firm. The model...

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...

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...

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 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...

The pandemic catalyzed an enduring shift to remote work. To measure and characterize this shift, we examine more than 250 million job vacancy postings across five English-speaking countries. Our measurements rely on a state-of-the-art language-processing framework that we fit, test, and refine...