G2TT
来源类型Discussion paper
规范类型论文
来源IDDP13209
DP13209 Robots, Trade, and Luddism: A Sufficient Statistic Approach to Optimal Technology Regulation
Arnaud Costinot; Iván Werning
发表日期2018-09-28
出版年2018
语种英语
摘要Technological change, from the advent of robots to expanded trade opportunities, tends to create winners and losers. How should government policy respond? And how should the overall welfare impact of technological change on society be valued? We provide a general theory of optimal technology regulation in a second best world, with rich heterogeneity across households, linear taxes on the subset of firms affected by technological change, and a nonlinear tax on labor income. Our first results consist of three optimal tax formulas, with minimal structural assumptions, involving sufficient statistics that can be implemented using evidence on the distributional impact of new technologies, such as robots and trade. Our second result is a comparative static exercise illustrating that while distributional concerns create a rationale for non-zero taxes on robots and trade, the magnitude of these taxes may decrease as the process of automation and globalization deepens and inequality increases. Our final result shows that, despite limited tax instruments, technological progress is always welcome and valued in the same way as in a first best world.
主题International Trade and Regional Economics ; Macroeconomics and Growth ; Public Economics
URLhttps://cepr.org/publications/dp13209
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/542016
推荐引用方式
GB/T 7714
Arnaud Costinot,Iván Werning. DP13209 Robots, Trade, and Luddism: A Sufficient Statistic Approach to Optimal Technology Regulation. 2018.
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