Foresightful workers can take actions to reduce their exposure to risk in labor markets, but existing evidence on narrow bracketing suggests that individuals might not optimally integrate risk reduction decisions with subsequent labor decisions. In an online labor market, we vary the level of...

We develop measures of labor-saving and labor-augmenting technology exposure using textual analysis of patents and job tasks. Using US administrative data, we show that both measures negatively predict earnings growth of individual incumbent workers. While labor-saving technologies predict...

Jobs increasingly require good decision-making. Workers are valued not only for how much they can do, but also for their ability to decide what to do. In this paper we develop a theory and measurement paradigm for assessing individual variation in the ability to make good decisions about...

We analyze how output and wages behave under different scenarios for technological progress that may culminate in Artificial General Intelligence (AGI), defined as the ability of AI systems to perform all tasks that humans can perform. We assume that human work can be decomposed into atomistic...

We study the allocation and productivity consequences of training production line supervisors in soft skills via a randomized controlled trial. Consistent with standard practice for training investments within firms, we asked middle managers -- who sit above supervisors in the hierarchy -- to...

A growing literature explores the impact of home-based versus office-based work. Differences in productivity may arise due to a treatment effect of the office or from workers with different abilities sorting into office or home work. We conduct an RCT in the data entry sector in India that...

We estimate the effects of robot adoption on firm-level and worker-level outcomes in the Netherlands using a large employer-employee panel dataset spanning 2009-2020. Our firm-level results confirm previous findings, with positive effects on value added and hours worked for robot-adopting firms...