The DOI matches its Crossref record; 91 of the 91 references it cites were found in a registry or an index.
Tax Aggressiveness and Accounting Fraud
Open accessAbstract
There are competing arguments and mixed prior evidence on whether firms that are aggressive in their financial reporting exhibit more or less tax aggressiveness. Our research contributes to resolving this issue by examining the association between aggressive tax reporting and the incidence of alleged accounting fraud. Relying on several proxies for tax aggressiveness to triangulate our evidence, we generally find that tax aggressive U.S. public firms are less likely to commit accounting fraud. However, we caution that our results are sensitive to how tax aggressiveness is measured. More specifically, four (two) of the five (three) proxies for firms’ effective tax rates (book‐tax differences) load positively (negatively) during the 1981–2001 period, implying that fraud firms are less tax aggressiveness. Our inferences persist when we isolate the 1995–2001 period in which accounting impropriety steeply rose and corporate tax compliance steeply fell. Moreover, we continue to find that tax aggressive firms are less apt to fraudulently manipulate their financial statements when we apply factor analysis to identify tax avoidance with a common factor extracted from the underlying proxies and match on propensity scores to ensure that the fraud and nonfraud samples have very similar nontax characteristics.
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Cited by
The Effect of Corporate Tax Avoidance on the Cost of Equity
Goh, B. W., Lee, J., Lim, C. Y., & Shevlin, T. J. (2013) · SSRN Electronic Journal · doi:10.2139/ssrn.2237742 · Cited by 422
The Effects of Regulatory Scrutiny on Tax Avoidance: An Examination of SEC Comment Letters
Kubick, T. R., Lynch, D., Mayberry, M. A., & Omer, T. C. (2014) · SSRN Electronic Journal · doi:10.2139/ssrn.2541035 · Cited by 328
Wilde, J. H. (2017) · The Accounting Review · doi:10.2308/accr-51661 · Cited by 316
CORPORATE TAX AVOIDANCE: A LITERATURE REVIEW AND RESEARCH AGENDA
Wang, F., Xu, S., Sun, J., & Cullinan, C. P. (2020) · Journal of Economic Surveys · doi:10.1111/joes.12347 · Cited by 294
Metadata
- Authors
- LENNOX, C., LISOWSKY, P., & PITTMAN, J.
- Venue
- Journal of Accounting Research
- Publisher
- Wiley
- Published
- 2013-01-28
- Volume
- 51
- Issue
- 4
- Pages
- 739-778
- ISSN
- 0021-8456 (ISSN-L)
- 1475-679X
- OpenAlex
- W3124504437
- Cited by
- 320
- References
- 91
- FWCI
- 41.21
- Type
- journal article
- Language
- en
- Open access
- green
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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.