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Maximum Likelihood Bunching Estimators of the ETI
Umeå University, Faculty of Social Sciences, Umeå School of Business and Economics (USBE), Economics.
Umeå University, Faculty of Social Sciences, Umeå School of Business and Economics (USBE), Economics.
Umeå University, Faculty of Social Sciences, Umeå School of Business and Economics (USBE), Economics.ORCID iD: 0000-0001-9244-7018
2021 (English)Report (Other academic)
Abstract [en]

We propose a maximum likelihood method to improve the bunching approach of estimating the elasticity of taxable income (ETI), and derive estimators for several model settings such as bunching with optimization frictions, notches, and heterogeneity in the ETI. Modelling optimization frictions explicitly, our estimators fit the data of several published studies very well. In the presence of a notch, the results can differ substantially from those obtained using the polynomial approach. If there is heterogeneity in the ETI, the elasticity among those who bunch exceeds the average elasticity in the population.

Place, publisher, year, edition, pages
Umeå universitet , 2021. , p. 41
Series
Umeå economic studies, ISSN 0348-1018 ; 987
Keywords [en]
Bunching Estimators, Elasticity of Taxable Income, Income Tax
National Category
Economics
Research subject
Economics
Identifiers
URN: urn:nbn:se:umu:diva-190568OAI: oai:DiVA.org:umu-190568DiVA, id: diva2:1621470
Funder
The Jan Wallander and Tom Hedelius Foundation, P2016-0140:1Available from: 2021-12-19 Created: 2021-12-19 Last updated: 2021-12-27Bibliographically approved

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Aronsson, ThomasJenderny, KatharinaLanot, Gauthier

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf