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Optimal Dynamic Nonlinear Income Taxes: Facing an Uncertain Future with a Sluggish Government

Marcus Berliant () and Shota Fujishima

MPRA Paper from University Library of Munich, Germany

Abstract: We consider the optimal nonlinear income taxation problem in a dynamic, stochastic environment when the government is sluggish in the sense that it cannot change the tax rule as uncertainty resolves. We argue that the zero top marginal tax rate result in static models is of little practical importance because it actually holds only when the top earner in the initial period receives the highest shock in every period.

Keywords: optimal income taxation; new dynamic public finance (search for similar items in EconPapers)
JEL-codes: H21 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-pbe and nep-pub
Date: 2013-05-17
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Related works:
Working Paper: Optimal dynamic nonlinear income taxes: facing an uncertain future with a sluggish government (2014) Downloads
Working Paper: Optimal dynamic nonlinear income taxes: facing an uncertain future with a sluggish government (2012) Downloads
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