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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Accountin...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.2139/ssrn.2...
Article . 2012 . Peer-reviewed
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Tax Aggressiveness and Accounting Fraud

Authors: Clive Lennox; Petro Lisowsky; Jeffrey Pittman;

Tax Aggressiveness and Accounting Fraud

Abstract

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 non-fraud samples have very similar non-tax characteristics.

Country
Singapore
Keywords

DRNTU::Business::Accounting

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    citations
    The total number of citations received by all articles of the researcher of interest.
    272
    popularity
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    Top 1%
    influence
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citations
The total number of citations received by all articles of the researcher of interest.
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
272
Top 1%
Top 1%
Top 10%
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