Aggregate U.S. labor market dynamics are well approximated by a dual labor market supplemented with a third, predominantly, home-production segment. We uncover this structure by estimating a Hidden Markov Model, a machine-learning method. The different market segments are identified through...

This paper investigates the causal effect of job training on wage rates in the presence of firm heterogeneity. When training affects worker sorting to firms, sample selection is no longer binary but is "multilayered". This paper extends the canonical Heckman (1979) sample selection model - which...

We use detailed location information from the Longitudinal Employer-Household Dynamics (LEHD) database to develop new evidence on the effects of spatial mismatch on the relative earnings of Black workers in large US cities. We classify workplaces by the size of the pay premiums they offer in a...

Recent wage growth at the bottom of the earnings distribution in the U.S. has reversed a decades-long trend of widening wage inequality. Numerous state and local minimum wage increases have overtaken an effectively non-binding federal minimum, and robust labor demand in the post-pandemic...

This paper builds, identifies and estimates a model of the labor market that features strategic interactions in wage setting and two-sided heterogeneity in order to shed light on the sources of wage inequality. We provide a tractable characterization of the model equilibrium and demonstrate its...

Over half of the U.S. population receives health insurance through an employer, with employer premium contributions creating a flat "head tax" per worker, independent of their earnings. This paper develops and calibrates a stylized model of the labor market to explore how this uniquely American...

We consider large, permanent shocks to individual occupations whose arrival date is uncertain. We are motivated by the advent of self-driving trucks, which will dramatically reduce demand for truck drivers. Using a bare-bones overlapping generations model, we examine an occupation facing...

This paper develops the nonparametric identification of models with production complementarities, worker-firm specific disutility of labor and search frictions. Mobility in the model is subject to preference shocks, and we assume that firms can write wage contracts. We develop a constructive...

This paper extends the literature on monopsony and labor market concentration by taking a task-based approach and estimating the causal effect of concentration in the demand for skills on labor market outcomes. The prior literature has focused on industry and occupation concentration and likely...

We introduce new measurement tools to understand the sources of earnings differences across space. Based on the natural language employers use in job vacancy text, we develop granular measures of job tasks and of worker specialization. We find that jobs in larger commuting zones involve greater...