Wharton Pension Research Council Working Papers
 

Document Type

Working Paper

Date of this Version

12-2021

Abstract

This paper provides general and empirically implementable sufficient statistics formulas for optimal nonlinear tax systems in the presence of preference heterogeneity. We study unrestricted tax systems on income and savings (or other commodities) that implement the optimal directrevelation mechanism, as well as simpler tax systems that impose common restrictions like separability between earnings and savings taxes. We characterize the optimum using familiar elasticity concepts and a sufficient statistic for across-income preference heterogeneity: the difference between the cross-sectional variation of savings with income, and the causal effect of income on savings. The Atkinson-Stiglitz Theorem is a knife-edge case corresponding to zero difference, and a number of other key results in optimal tax theory are subsumed as special cases. Our formulas also apply to other sources of across-income heterogeneity, including heterogeneity in rates of return on savings, inheritances, and the ability to shift income between tax bases. We provide tractable extensions of these results that include multidimensional heterogeneity, additional efficiency rationales for taxing heterogeneous returns, and corrective motives to encourage more saving. Applying these formulas in a calibrated model of the U.S. economy, we find that the optimal savings tax is positive and progressive.

JEL Code

D61, H21, H24

Working Paper Number

WP2021-20

Copyright/Permission Statement

All findings, interpretations, and conclusions of this paper represent the views of the authors and not those of the Wharton School or the Pension Research Council. © 2021 Pension Research Council of the Wharton School of the University of Pennsylvania. All rights reserved.

Acknowledgements

We are grateful to Afras Sial for excellent research assistance. This project was supported through a Quartet Pilot Research award and was funded by the Center for Health Incentives and Behavioral Economics at the University of Pennsylvania, by The Research Council of Norway 315765, and by the Alfred P. Sloan Foundation. Ferey gratefully acknowledges the financial support of Labex ECODEC at CREST, and of the Deutsche Forschungsgemeinschaft through CRC TRR 190 at LMU Munich. We thank Pierre Boyer, Philippe Choné, Ashley Craig, Nathan Hendren, Laurence Jacquet, Dirk Krueger, Etienne Lehmann, Jonas Loebbing, Jean-Baptiste Michau, Andreas Peichl, Dominik Sachs, Emmanuel Saez, Florian Scheuer, Stefanie Stantcheva, Joseph Stiglitz, Aleh Tsyvinski, Nicolas Werquin, Eric Zwick, participants at NBER Macro Public Finance, NBER Public Economics, IIPF, LAGV, NTA, and audiences at UC Berkeley, CREST - Ecole Polytechnique and LMU Munich for their valuable comments.

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Date Posted: 15 December 2021