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SSRN Electronic Journal
Article . 2018 . Peer-reviewed
Data sources: Crossref
EconStor
Research . 2018
Data sources: EconStor
EconStor
Research . 2018
Data sources: EconStor
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Smooth Income Tax Schedules: Derivation and Consequences

Authors: Estévez Schwarz, Diana; Sommer, Eric;

Smooth Income Tax Schedules: Derivation and Consequences

Abstract

Existing tax schedules are often overly complex and characterized by discontinuities in the marginal tax burden. In this paper we propose a class of progressive smooth functions to replace personal income tax schedules. These functions depend only on three meaningful parameters, and avoid the drawbacks of defining tax schedules through various tax brackets. Based on representative micro data, we derive revenue-neutral parameters for four different types of tax regimes (Austria, Germany, Hungary and Spain). We then analyze possible implications from a hypothetical switch to smoother income tax tariffs. We find that smooth tax functions eliminate the most extreme cases of bracket creep, while the impact on income inequality is mostly negligible, but uniformly reducing.

Keywords

C63, ddc:330, H24, income distribution, microsimulation, personal income taxation, nonlinear smooth tax tariff

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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!
0
Average
Average
Average
bronze