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...

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 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...

We develop a dynamic labor search model where production and consumption take place in spatially distinct labor markets with varying exposure to domestic and international trade. The model recognizes the role of labor mobility frictions, goods mobility frictions, geographic factors, and...

Our paper documents the large labor market wedges created by taxes, subsidies, and regulations included in the Affordable Care Act. The law changes terms of trade in both goods and factor markets for firms offering health insurance coverage. We use a multi-sector (intra-national) trade model to...