Routine-Biased Technological Change and Endogenous Skill Investments
研究个体如何因应常规偏向技术调整教育投资，发现受机器人影响的地区人们更可能获得学士学位且收入相对提高，但内生技能反应无法完全抵消自动化的负面收入效应，除非有足够的教育补贴。
We investigate how individuals alter their educational investments in response to routine-biased technology. We find that individuals growing up in robot-impacted areas are more likely to complete a bachelor’s degree and experience a relative increase in earnings. Changes in the skill premium and opportunity cost appear to drive these effects. To interpret these findings, we estimate a model of endogenous skill acquisition where changes in the demand and supply of skills shape the path of earnings. Counterfactual simulations suggest that the endogenous skill response cannot fully undo the adverse earnings effects of automation unless there are sufficiently generous educational subsidies.