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Cited by 1,105

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

An Examination of Corporate Tax Shelter Participants

Wilson, Ryan J.·2009·The Accounting Review

Abstract

ABSTRACT: Recent evidence suggests that corporate tax shelters have become important corporate instruments for reducing tax burden. Based on a sample of identified tax shelter participants, I develop a profile of the type of firm that likely engages in tax sheltering. The model detects tax shelter participants through the use of variables predicted to be either affected by or associated with tax sheltering. I find that firms actively engaged in tax sheltering exhibit larger ex post book-tax differences and more aggressive financial reporting practices. Using this model of tax shelter firm characteristics, I identify a broad sample of predicted tax shelter firms from the population of firms. I then examine whether tax sheltering is associated with wealth creation for shareholders or with managerial opportunism. I find that active tax shelter firms with strong corporate governance exhibit positive abnormal returns. This finding is consistent with tax sheltering being a tool for wealth creation in well-governed firms.

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Metadata

Authors
Wilson, R. J.
Venue
The Accounting Review
Published
2009-05-01
Volume
84
Issue
3
Pages
969-999
ISSN
  • 0001-4826 (ISSN-L)
  • 1558-7967
OpenAlex
W2060563930
Cited by
1,105
References
2
FWCI
139.99
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: An Examination of Corporate Tax Shelter Participants. https://app.cochat.ai/papers/10.2308/accr.2009.84.3.969
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Wilson, R. J. (2009). An Examination of Corporate Tax Shelter Participants. The Accounting Review. https://doi.org/10.2308/accr.2009.84.3.969

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.