Optimal Nonlinear Taxation: The Dual Approach
Aart Gerritsen
Working Papers from Max Planck Institute for Tax Law and Public Finance
Abstract:
The usual method of solving for an optimal nonlinear tax schedule is that of the primal approach – ï¬ rst 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.
Keywords: Optimal taxation; dual approach; preference heterogeneity; individual misoptimization; tax reforms (search for similar items in EconPapers)
JEL-codes: H21 H23 H24 (search for similar items in EconPapers)
Pages: 37 pages
Date: 2016-01
New Economics Papers: this item is included in nep-acc, nep-pbe, nep-pub and nep-upt
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)
Downloads: (external link)
http://www.tax.mpg.de/RePEc/mpi/wpaper/TAX-MPG-RPS-2016-02.pdf Full text (original version) (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:mpi:wpaper:tax-mpg-rps-2016-02
Access Statistics for this paper
More papers in Working Papers from Max Planck Institute for Tax Law and Public Finance Contact information at EDIRC.
Bibliographic data for series maintained by Hans Mueller ().