Dynamic Income Taxation without Commitment: Comparing Alternative Tax Systems
Jang-Ting Guo and
A Krause
Discussion Papers from Department of Economics, University of York
Abstract:
This paper addresses the question as to whether it is optimal to use separating or pooling nonlinear income taxation, or to use linear income taxation, when the government cannot commit to its future tax policy. We consider both two-period and infinite-horizon settings. Under empirically plausible parameter values, separating income taxation is optimal in the two-period model, whereas linear income taxation is optimal when the time horizon is infinite. The welfare effects of varying the discount rate, the degree of wage inequality, and the population of high-skill workers are also explored. For realistic changes in these parameters, separating income taxation remains optimal in the two-period formulation, and linear income taxation remains optimal in the infinite-horizon model.
Keywords: Dynamic Income Taxation; Commitment. (search for similar items in EconPapers)
JEL-codes: H21 H24 (search for similar items in EconPapers)
Date: 2010-06
New Economics Papers: this item is included in nep-acc and nep-dge
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.york.ac.uk/media/economics/documents/discussionpapers/2010/1015.pdf Main text (application/pdf)
Related works:
Journal Article: Dynamic income taxation without commitment: Comparing alternative tax systems (2015) 
Working Paper: Dynamic Income Taxation without Commitment: Comparing Alternative Tax Systems (2010) 
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:yor:yorken:10/15
Access Statistics for this paper
More papers in Discussion Papers from Department of Economics, University of York Department of Economics and Related Studies, University of York, York, YO10 5DD, United Kingdom. Contact information at EDIRC.
Bibliographic data for series maintained by Paul Hodgson ().