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Journal of Public Economics
Article . 2014 . Peer-reviewed
License: Elsevier TDM
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SSRN Electronic Journal
Article . 2013 . Peer-reviewed
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EconStor
Research . 2013
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Optimal Linear Commodity Taxation Under Optimal Non-Linear Income Taxation

Authors: Bas Jacobs; Robin Boadway;

Optimal Linear Commodity Taxation Under Optimal Non-Linear Income Taxation

Abstract

Abstract This paper analyzes optimal linear commodity taxes joint with non-linear income taxes. We provide optimal tax rules based on empirically observable elasticities, earnings and commodity demands. We demonstrate that commodities should be taxed/subsidized if – conditional on earnings – doing so boosts labor supply as the critical role of commodity taxation is to alleviate distortions on labor supply caused by income taxation. We extend the standard formula for optimal non-linear income taxation for the presence of optimal linear commodity taxes. We correct parts of the literature by showing that the optimal second-best allocations derived by Atkinson and Stiglitz (1976, 1980) cannot be supported by linear commodity taxes.

Country
Netherlands
Keywords

Atkinson-Stiglitz Theorem, optimal non-linear income taxation, optimal linear and non-linear indirect taxation, Atkinson-Stiglitz Theorem, ddc:330, EUR ESE 33, H20, optimal non-linear income taxation, optimal linear and non-linear indirect taxation, jel: jel:H20

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    popularity
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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
34
Top 10%
Top 10%
Top 10%
bronze