Arbeitspapier
Optimal Taxation of Robots
I study the optimal taxation of robots and labor income. In the model, robots substitute for routine labor and complement non-routine labor. I show that while it is optimal to distort robot adoption, robots may be either taxed or subsidized. The robot tax exploits general-equilibrium effects to compress the wage distribution. Wage compression reduces income-tax distortions of labor supply, thereby raising welfare. In the calibrated model, the optimal robot tax for the US is positive and generates small welfare gains. As the price of robots falls, inequality rises but the robot tax and its welfare impact become negligible.
- Language
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Englisch
- Bibliographic citation
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Series: CESifo Working Paper ; No. 7317
- Classification
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Wirtschaft
Personal Income, Wealth, and Their Distributions
Factor Income Distribution
General Equilibrium and Disequilibrium: General
Taxation and Subsidies: Efficiency; Optimal Taxation
Taxation and Subsidies: Externalities; Redistributive Effects; Environmental Taxes and Subsidies
Personal Income and Other Nonbusiness Taxes and Subsidies; includes inheritance and gift taxes
Business Taxes and Subsidies including sales and value-added (VAT)
Human Capital; Skills; Occupational Choice; Labor Productivity
Wage Level and Structure; Wage Differentials
Technological Change: Choices and Consequences; Diffusion Processes
- Subject
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optimal taxation
input taxation
production efficiency
technological change
robots
inequality
general equilibrium
multidimensional heterogeneity
- Event
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Geistige Schöpfung
- (who)
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Thuemmel, Uwe
- Event
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Veröffentlichung
- (who)
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Center for Economic Studies and ifo Institute (CESifo)
- (where)
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Munich
- (when)
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2018
- Handle
- Last update
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10.03.2025, 11:43 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Thuemmel, Uwe
- Center for Economic Studies and ifo Institute (CESifo)
Time of origin
- 2018