We construct a dynamic general equilibrium model with occupation mobility, human capital accumulation and endogenous assignment of workers to tasks to quantitatively assess the aggregate impact of automation and other task-biased technological innovations. We extend recent quantitative general...

We examine the state of the U.S. K-12 teaching profession over the last half century by compiling nationally representative time-series data on four interrelated constructs: occupational prestige, interest among students, the number of individuals preparing for entry, and on-the-job...

When an employee expects repeated evaluation and performance incentives over time, the potential future rewards create an incentive to invest in building relevant skills. Because new skills benefit job performance, the effects of an evaluation program can persist after the rewards end or even...

This paper estimates teachers' impacts on their students' future criminal justice contact (CJC). Using a unique data set linking the universe of North Carolina public school data to administrative arrest records, we find a standard deviation of teacher effects on students' future arrests of 2.7...

How skills acquired in vocational education and training (VET) affect wages and employment is not clear. We develop and estimate a search and matching model for workers with a VET degree. Workers differ in interpersonal, cognitive and manual skills, while firms require and value different...

The standard economic model of occupational choice following a basic Roy model emphasizes individual selection and comparative advantage, but the sources of comparative advantage are not well understood. We employ a unique combination of Dutch survey and registry data that links math and...

We comment on the work of Hanushek et al. (2015) and show that returns to skills are very heterogeneous and depend crucially on the tasks performed in the workplace, in line with the critique by Acemoglu and Autor (2011). Depending on the type of tasks performed at work, as well as on...