Optimal nonlinear taxation: a simpler approach

Author:

Gerritsen Aart

Abstract

AbstractThe typical method of solving for the optimal nonlinear tax schedule relies on deriving optimal incentive-compatible allocations. While this “primal approach” is mathematically rigorous, it lacks intuitive appeal. This paper considers a different method that relies on directly solving for the optimal tax system. This “dual approach” is much closer to actual tax policy as it centers around the welfare effects of tax reforms. I show that it can easily incorporate preference heterogeneity, as well as individual utility misoptimization. Beyond solving for the optimal tax system, the dual approach allows one to obtain insights into the welfare effects of small nonlinear tax reforms outside the optimum.

Publisher

Springer Science and Business Media LLC

Subject

Economics and Econometrics,Finance,Accounting

Reference52 articles.

1. Bastani, S., Blumkin, T., & Micheletto, L. (2015). Optimal wage redistribution in the presence of adverse selection in the labor market. Journal of Public Economics, 131, 41–57.

2. Bierbrauer, F. J., Boyer, P. C. & Hansen, E. (2022). Pareto-improving tax reforms and the earned income tax credit. Econometrica forthcoming.

3. Blomquist, S., & Micheletto, L. (2006). Optimal redistributive taxation when government’s and agents’ preferences differ. Journal of Public Economics, 90(6), 1215–1233.

4. Blomquist, S., & Simula, L. (2019). Marginal deadweight loss when the income tax is nonlinear. Journal of Econometrics, 211(1), 47–60.

5. Blundell, R., & MaCurdy, T. (1999). Labor supply: A review of alternative approaches. In O. Ashenfelter & D. Card (Eds.), Handbook of labor economics (Vol. 3, pp. 1559–1695). Amsterdam: Elsevier.

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