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We study the consequences of predictive scheduling laws for wages, emmployment, hours, and the variability of hours worked. A number of states and municipalities have recently passed these laws, which require employers to give their employees advance …

We study how changes in relative labor-to-capital taxation affect the direction of technological change, particularly the adoption and innovation of labor-saving versus labor-augmenting technologies. To study these effects, we draw on a stacked …

We examine the welfare consequences of requiring firms to prioritize workers with low displacement costs for layoffs. Using linked employer–employee administrative data, we exploit a reform that raised the firm-size threshold for the applicability of …

We study employee stock ownership programs (ESOPs), which 10.9 million US workers have access to, providing them equity in their employer. In event studies in US administrative data (the LEHD), we are examining the impacts of the introduction of …

We study the impact of scientific advancement on innovation in a newly digitized dataset of 19th century British patents. We build a network of scientific fields linked with technology classes, following the diffusion of new words from scientific …