Optimal Nonlinear Taxation: The Dual Approach
Author(s) -
Aart Gerritsen
Publication year - 2016
Publication title -
ssrn electronic journal
Language(s) - English
Resource type - Journals
ISSN - 1556-5068
DOI - 10.2139/ssrn.2726545
Subject(s) - dual (grammatical number) , nonlinear system , economics , mathematical economics , computer science , mathematical optimization , mathematics , physics , philosophy , quantum mechanics , linguistics
The usual method of solving for an optimal nonlinear tax schedule is that of the primal approach -- first solving for the optimal allocation, and subsequently determining which tax system decentralizes this allocation. While this method is mathematically rigorous, it lacks intuitive appeal. I propose a different method based on the dual approach -- directly solving for the optimal tax system -- which is equally rigorous, while being much closer in spirit to actual tax policy. I show that this approach can easily incorporate preference heterogeneity, as well as individual behavior that is not fully consistent with utility maximization. Over and above solving for the optimum, the dual approach allows one to obtain new insights into the welfare effects of small nonlinear tax reforms outside the optimum
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