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Journal of Public Economics
Article . 2014 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
SSRN Electronic Journal
Article . 2012 . Peer-reviewed
Data sources: Crossref
EconStor
Research . 2012
Data sources: EconStor
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Bunching and Non-Bunching at Kink Points of the Swedish Tax Schedule

Authors: Spencer Bastani; Håkan Selin;

Bunching and Non-Bunching at Kink Points of the Swedish Tax Schedule

Abstract

Recent microeconometric studies of taxpayers’ responsiveness to taxation have shown that intensive margin labor supply and earnings elasticities typically are modest and sometimes equal to zero. However, a common view is that long-run responses might still be large since micro-estimates are downward biased owing to optimization frictions. In this paper we estimate the taxable income elasticity at a very large kink point of the Swedish tax schedule using the bunching method. During the period of study the change in the log net-of-tax rate reached a maximum value of 45.6%. Interestingly, we obtain a precise elasticity estimate of zero for wage earners at this large kink. The size of the kink allows us to derive tighter bounds on the long-run elasticity than previous studies. If wage earners on average tolerate 1% of their disposable income in optimization costs, the upper bound on the long-run taxable income elasticity is 0.39. We also evaluate the performance of the bunching estimator by performing Monte Carlo simulations.

Keywords

ddc:330, H24, J22, taxable income, Steuerwirkung, bunching; taxable income; bounds; optimization frictions, bunching, taxable income, bounds, optimization frictions, Einkommenselastizität, Einkommensteuer, Optimale Besteuerung, optimization frictions, H21, bounds, bunching, Arbeitsangebot, Schätzung, Schweden, jel: jel:H42, jel: jel:H21, jel: jel:H24, jel: jel:J22

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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!
111
Top 1%
Top 10%
Top 10%
bronze