Machine learning (ML) is mostly a predictive enterprise, while the questions of interest to labor economists are mostly causal. In pursuit of causal effects, however, ML may be useful for automated selection of ordinary least squares (OLS) control variables. We illustrate the utility of ML for...

We show that occupational licensing has significant negative effects on labor market fluidity defined as cross-occupation mobility. Using a balanced panel of workers constructed from the CPS and SIPP data, we analyze the link between occupational licensing and labor market outcomes. We find that...

This paper presents an overview and interpretation of the literature relating school quality to students' subsequent labor market success. We begin with a simple theoretical model that describes the determination of schooling and earnings with varying school quality. A key insight of the model...

This study measures the heterogeneity of establishment-level employment changes in the U.S. manufacturing sector over the 1972 to 1986 period. We measure this heterogeneity in terms of the gross creation and destruction of jobs and the rate at which jobs are reallocated across plants. Our...

"This paper reviews the literature on employment and labor law. It is observed that all jurisdictions in the world have extensive employment and labor law, even though many economists recommend a reduction in legal restrictions. The review of the law illustrates that it has evolved in response...

We survey the recent empirical literature on the effects of offshoring on wages, employment and displacement. We start with the measurement of offshoring, focusing on the use of imported inputs that could have been produced by the importing firm. We overview key theories related to offshoring...