Innovation, automation, and inequality: Policy challenges in the race against the machine
通过一个包含内生教育的研发驱动增长模型，分析了自动化对经济增长、教育和不平等的影响，发现自动化会提高大学毕业生比例、加剧收入和财富不平等、降低劳动份额，并指出标准政策建议可能产生意外副作用。
The effects of automation on economic growth, education, and inequality are analyzed using an R&D-driven growth model with endogenous education in which high-skilled workers are complements to machines and low-skilled workers are substitutes for machines. The model predicts that automation leads to an increasing share of college graduates, increasing income and wealth inequality, and a declining labor share. We show that standard policy suggestions for the age of automation can trigger unintended side effects on inequality, growth, and welfare, irrespective of whether they are financed by progressive wage taxation or by a robot tax.