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Abnormal Audit Fees and Accounting Quality

Authors: Jeffrey Coulton; Gilad Livne; Angela Kate Pettinicchio; Stephen L. Taylor;

Abnormal Audit Fees and Accounting Quality

Abstract

We provide evidence that distinguishes between competing production cost-based explanations of how to interpret unusually high (or low) audit fees and their expected relation with accounting quality. Abnormally high or low fees are typically proxied by the residuals obtained from fee models. Whereas prior research assumes these residuals are independent from one year to the next, we argue that the inherent “stickiness” in audit fee residuals also means that measures of unexpected fees will be serially correlated. Our results strongly support this view, and suggest that audit fee residuals reflect a limitation of the standard audit fee model in capturing attributes of the auditing environment that are not well captured at the client-firm level. However, we also argue that the extent to which residual fees differ from the recent past can clarify their relation to accounting quality. We show that the “jump” in fee residuals relative to their long-run “sticky” average is strongly associated with lower accounting quality. Hence, a “jump” in fee residuals is a suitable proxy for lower accounting quality, as it likely reflects reactive auditor effort and/or an additional risk premium. We then show that long-run fee residuals are also negatively associated with subsequent accounting quality, a result which further contradicts the argument that higher abnormal audit fees capture increased proactive effort and therefore reflect “investments in auditing”. Overall, our results suggest that risk, rather than proactive effort, is a better explanation for higher than expected audit production costs.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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!
3
Average
Average
Average
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