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Optimal Taxation of Robots

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  • Uwe Thuemmel

Abstract

I study the optimal taxation of robots, other capital, and labor income. I show that it is optimal to distort robot adoption. The robot tax (or subsidy) exploits general-equilibrium effects to compress wages, which reduces income-tax distortions of labor supply, thereby raising welfare. In the calibrated model, when robots are expensive, a robot subsidy is optimal. As robots get cheaper, it becomes optimal to tax them. Yet, when reforming the status-quo tax system, most welfare gains can be achieved by adjusting the income tax. The additional gains from taxing robots differently from other equipment capital are close to zero.

Suggested Citation

  • Uwe Thuemmel, 2023. "Optimal Taxation of Robots," Journal of the European Economic Association, European Economic Association, vol. 21(3), pages 1154-1190.
  • Handle: RePEc:oup:jeurec:v:21:y:2023:i:3:p:1154-1190.
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    File URL: http://hdl.handle.net/10.1093/jeea/jvac062
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    1. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    2. Carl Benedikt Frey & Thor Berger & Chinchih Chen, 2018. "Political machinery: did robots swing the 2016 US presidential election?," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 34(3), pages 418-442.
    3. vom Lehn, Christian, 2020. "Labor market polarization, the decline of routine work, and technological change: A quantitative analysis," Journal of Monetary Economics, Elsevier, vol. 110(C), pages 62-80.
    4. Naito, Hisahiro, 1999. "Re-examination of uniform commodity taxes under a non-linear income tax system and its implication for production efficiency," Journal of Public Economics, Elsevier, vol. 71(2), pages 165-188, February.
    5. Barth, Erling & Roed, Marianne & Schone, Pal & Umblijs, Janis, 2020. "How Robots Change Within-Firm Wage Inequality," IZA Discussion Papers 13605, IZA Network @ LISER.
    6. Loebbing, Jonas, 2020. "Redistributive Income Taxation with Directed Technical Change," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224606, Verein für Socialpolitik / German Economic Association.
    7. Naito, Hisahiro, 2004. "Endogenous human capital accumulation, comparative advantage and direct vs. indirect redistribution," Journal of Public Economics, Elsevier, vol. 88(12), pages 2685-2710, December.
    8. Casey Rothschild & Florian Scheuer, 2014. "A Theory of Income Taxation under Multidimensional Skill Heterogeneity," NBER Working Papers 19822, National Bureau of Economic Research, Inc.
    9. Prettner, Klaus & Strulik, Holger, 2020. "Innovation, automation, and inequality: Policy challenges in the race against the machine," Journal of Monetary Economics, Elsevier, vol. 116(C), pages 249-265.
    10. Zhang, Pengqing, 2019. "Automation, wage inequality and implications of a robot tax," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 500-509.
    11. Guido Matias Cortes, 2016. "Where Have the Middle-Wage Workers Gone? A Study of Polarization Using Panel Data," Journal of Labor Economics, University of Chicago Press, vol. 34(1), pages 63-105.
    12. Emmanuel Saez, 2002. "Optimal Income Transfer Programs: Intensive versus Extensive Labor Supply Responses," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(3), pages 1039-1073.
    13. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue nov.
    14. Berg, Andrew & Buffie, Edward F. & Zanna, Luis-Felipe, 2018. "Should we fear the robot revolution? (The correct answer is yes)," Journal of Monetary Economics, Elsevier, vol. 97(C), pages 117-148.
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    Cited by:

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    2. Pablo Casas & José L. Torres, 2024. "Government size and automation," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 31(3), pages 780-807, June.
    3. Yunmin Chen, 2024. "Optimal dynamic nonlinear income taxation with wage regulations," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 31(4), pages 1009-1036, August.
    4. Vesely, Stepan & Amaris, Gloria, 2025. "AI-driven income inequality and preferences for redistribution," Economic Analysis and Policy, Elsevier, vol. 87(C), pages 642-648.
    5. Abeliansky, Ana Lucia & Prettner, Klaus & Rodriguez-Crespo, Ernesto, 2024. "Climate change and automation: the emission effects of robot adoption," Department of Economics Working Paper Series 370, WU Vienna University of Economics and Business.
    6. Bloom, David E. & Prettner, Klaus & Saadaoui, Jamel & Veruete, Mario, 2025. "Artificial intelligence and the skill premium," Finance Research Letters, Elsevier, vol. 81(C).
    7. Li, Jianjun & Wu, Zhouyi & Yu, Kaijia & Zhao, Wei, 2024. "The effect of industrial robot adoption on firm value: Evidence from China," Finance Research Letters, Elsevier, vol. 60(C).
    8. Aronsson, Thomas & Bastani, Spencer & Tayibov, Khayyam, 2025. "Redistribution and labor market inclusion," Working Paper Series 2025:19, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    9. Maeda, Daiki & Morimoto, Takaaki & Motoyama, Takumi & Saito, Yuki, 2025. "Effects of a capital-use tax and automation subsidy in a model of innovation and automation," Journal of Economic Behavior & Organization, Elsevier, vol. 238(C).
    10. Kim, Taehoon & Jung, Hoyong, 2026. "Industrial robotisation and local taxes: Evidence from South Korea," Technology in Society, Elsevier, vol. 84(C).
    11. Zhang, Jingting & Shi, Zhiru, 2025. "Suppress or let go? The time-varying roles of automation towards labor market," Structural Change and Economic Dynamics, Elsevier, vol. 74(C), pages 158-174.
    12. Nakatani, Ryota, 2024. "Optimal Taxation in the Automated Era," MPRA Paper 121347, University Library of Munich, Germany.
    13. Nakatani, Ryota, 2022. "Optimal fiscal policy in the automated economy," MPRA Paper 115003, University Library of Munich, Germany.
    14. Furgasė Jevgenija & Miceikienė Astrida, 2024. "Reforming Labour Taxation: Addressing the Employment Effects of Technological Progress," Management Theory and Studies for Rural Business and Infrastructure Development, Sciendo, vol. 46(4), pages 592-608.

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