Technology is the driver of labor allocation across sectors and occupations. Is the impact of technological change on developing countries similar to its impact on developed countries? Will developing countries follow the same development path that developed economies have taken? Our approach...

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...

In spring 2005, Austria launched a campaign to inform employers and newspapers that gender preferences in job advertisements were illegal. At the time over 40% of openings on the nation's largest job-board specified a preferred gender. Over the next year the fraction fell to under 5%. We merge...

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...

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....

In this paper we use detailed job vacancy data to estimate changes in skill demand in the years since the Great Recession. The share of job vacancies requiring a bachelor's degree increased by more than 60 percent between 2007 and 2019, with faster growth in professional occupations and...

We show that administrative hourly wage data exhibits considerable bunching at round numbers that cannot be explained by rounding of survey respondents. We consider two explanations--worker left-digit bias and employer optimization frictions. We experimentally rule out left-bunching by...

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...