Arbeitspapier

Social networks and tax avoidance. Evidence from a well-defined Norwegian tax shelter

In 2005, over 8% of Norwegian shareholders transferred their shares to new (legal) tax shelters intended to defer taxation of capital gains and dividends that would otherwise be taxable in the aftermath of 2006 reform. Using detailed administrative data we identify family networks and describe how take up of tax avoidance progresses within a network. A feature of the reform was that the ability to set up a tax shelter changed discontinuously with individual shareholding of a firm and we use this fact to estimate the causal effect of availability of tax avoidance for a taxpayer on tax avoidance by others in the network. We find that take up in a social network increases the likelihood that others will take up. This suggests that taxpayers affect each other's decisions about tax avoidance, highlighting the importance of accounting for social interactions in understanding enforcement and tax avoidance behavior, and providing a concrete example of “optimization frictions” in the context of behavioral responses to taxation.

Sprache
Englisch

Erschienen in
Series: Discussion Papers ; No. 886

Klassifikation
Wirtschaft
Tax Evasion and Avoidance
Business Taxes and Subsidies including sales and value-added (VAT)
Fiscal Policies and Behavior of Economic Agents: Firm
Transactional Relationships; Contracts and Reputation; Networks
Thema
Tax avoidance
social interaction
networks

Ereignis
Geistige Schöpfung
(wer)
Alstadsæter, Annette
Kopczuk, Wojciech
Telle, Kjetil
Ereignis
Veröffentlichung
(wer)
Statistics Norway, Research Department
(wo)
Oslo
(wann)
2018

Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Alstadsæter, Annette
  • Kopczuk, Wojciech
  • Telle, Kjetil
  • Statistics Norway, Research Department

Entstanden

  • 2018

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