经济
机器人
自动化
最优税收
不平等
微观经济学
劳动经济学
计算机科学
工程类
人工智能
机械工程
数学分析
数学
作者
João Guerreiro,Sérgio Rebelo,Pedro Teles
标识
DOI:10.1093/restud/rdab019
摘要
Abstract Using a quantitative model that features technical progress in automation and endogenous skill choice, we show that, given the current U.S. tax system, a sustained fall in automation costs can lead to a massive rise in income inequality. We characterize the optimal tax system in this model. We find that it is optimal to tax robots while the current generations of routine workers, who can no longer move to non-routine occupations, are active in the labour force. Once these workers retire, optimal robot taxes are zero.
科研通智能强力驱动
Strongly Powered by AbleSci AI