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Cited by 396

The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.

Do Publicly Disclosed Tax Reserves Tell Us About Privately Disclosed Tax Shelter Activity?

Open access
LISOWSKY, PETRO, ROBINSON, LESLIE, SCHMIDT, ANDREW·2013·Journal of Accounting Research

Abstract

We examine whether public disclosures of tax reserves recently made available through Financial Interpretation No. 48 (FIN 48) reflect corporate tax shelter activities. Understanding this relation is important to corporate stakeholders and researchers keen to infer the aggressive nature of a firm's tax positions from its tax reserve accrual. Our study links public disclosures of tax reserves with mandatory private disclosures of tax shelter participation as made to the Internal Revenue Service's Office of Tax Shelter Analysis. We find strong, robust evidence that the tax reserve is positively associated with tax shelters, while other commonly used measures of tax avoidance are not. Based on out‐of‐sample tests, we also show that the reserve is a suitable summary measure for predicting tax shelters. The tax benefits of tax shelters are economically significant, accounting for up to 48% of the aggregate FIN 48 tax reserves in our sample.

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Metadata

Authors
LISOWSKY, P., ROBINSON, L., & SCHMIDT, A.
Venue
Journal of Accounting Research
Publisher
Wiley
Published
2013-02
Volume
51
Issue
3
Pages
583-629
ISSN
  • 0021-8456 (ISSN-L)
  • 1475-679X
OpenAlex
W2312597817
Cited by
396
References
34
FWCI
97.41
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Do Publicly Disclosed Tax Reserves Tell Us About Privately Disclosed Tax Shelter Activity? https://app.cochat.ai/papers/10.1111/joar.12003
The paper
LISOWSKY, P., ROBINSON, L., & SCHMIDT, A. (2013). Do Publicly Disclosed Tax Reserves Tell Us About Privately Disclosed Tax Shelter Activity? Journal of Accounting Research. https://doi.org/10.1111/joar.12003

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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.