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Robots, Trade, and Luddism: A Sufficient Statistic Approach to Optimal Technology Regulation
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Robots, Trade, and Luddism: A Sufficient Statistic Approach to Optimal Technology Regulation

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  • Arnaud Costinot
  • Iván Werning

Abstract

Technological change, from the advent of robots to expanded trade opportunities, creates winners and losers. How should government policy respond? 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 non-linear tax on labour income. Our first set of results consists of 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 final results are comparative static exercises illustrating, among other things, 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.

Suggested Citation

  • Arnaud Costinot & Iván Werning, 2023. "Robots, Trade, and Luddism: A Sufficient Statistic Approach to Optimal Technology Regulation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(5), pages 2261-2291.
    • Handle: RePEc:oup:restud:v:90:y:2023:i:5:p:2261-2291.
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    More about this item

    Keywords

    Robots; Trade; Sufficient statistics; Technology regulation;
    All these keywords.

    JEL classification:

    • F11 - International Economics - - Trade - - - Neoclassical Models of Trade
    • F13 - International Economics - - Trade - - - Trade Policy; International Trade Organizations
    • H0 - Public Economics - - General
    • H2 - Public Economics - - Taxation, Subsidies, and Revenue
    • H21 - Public Economics - - Taxation, Subsidies, and Revenue - - - Efficiency; Optimal Taxation

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