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The Effect of Audit Committee Expertise, Independence, and Activity on Aggressive Earnings Management

Be´dard, Jean, Chtourou, Sonda Marrakchi, Courteau, Lucie·2004·AUDITING: A Journal of Practice & Theory

Abstract

This study investigates whether the expertise, independence, and activities of a firm's audit committee have an effect on the quality of its publicly released financial information. In particular, we examine the relationship between audit committee characteristics and the extent of corporate earnings management as measured by the level of income-increasing and income-decreasing abnormal accruals. Using two groups of U.S. firms, one with relatively high and one with relatively low levels of abnormal accruals in the year 1996, we find a significant association between earnings management and audit committee governance practices. We find that aggressive earnings management is negatively associated with the financial and governance expertise of audit committee members, with indicators of independence, and with the presence of a clear mandate defining the responsibilities of the committee. The association is similar for both income-increasing and income-decreasing earnings management, suggesting that audit committee members are concerned with both types of earnings management and do not exhibit an asymmetric loss function similar to that of auditors.

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Metadata

Authors
Be´dard, J., Chtourou, S. M., & Courteau, L.
Venue
AUDITING: A Journal of Practice & Theory
Published
2004-09-01
Volume
23
Issue
2
Pages
13-35
ISSN
  • 0278-0380 (ISSN-L)
  • 1558-7991
OpenAlex
W2171983833
Cited by
1,392
References
0
FWCI
85.60
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Effect of Audit Committee Expertise, Independence, and Activity on Aggressive Earnings Management. https://app.cochat.ai/papers/10.2308/aud.2004.23.2.13
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Be´dard, J., Chtourou, S. M., & Courteau, L. (2004). The Effect of Audit Committee Expertise, Independence, and Activity on Aggressive Earnings Management. AUDITING: A Journal of Practice & Theory. https://doi.org/10.2308/aud.2004.23.2.13

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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.