Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,664

The DOI matches its Crossref record.

Audit Committee Characteristics and Restatements

Abbott, Lawrence J., Parker, Susan, Peters, Gary F.·2004·AUDITING: A Journal of Practice & Theory

Abstract

This study addresses the impact of certain audit committee characteristics identified by the Blue Ribbon Committee on Improving the Effectiveness of Corporate Audit Committees (BRC) on the likelihood of financial restatement. We examine 88 restatements of annual results (without allegations of fraud) in the period 1991–1999, together with a matched pairs control group of firms of similar size, exchange listing, industry and auditor type. We find that the independence and activity level (our proxy for audit committee diligence) of the audit committee exhibit a significant and negative association with the occurrence of restatement. We also document a significant negative association between an audit committee that includes at least one member with financial expertise and restatement. To test the robustness of the results we also consider a sample of 44 fraud and no-fraud firms and arrive at largely similar findings. Our results underscore the importance of the BRC's recommendations as a means of strengthening the monitoring and oversight role that the audit committee plays in the financial reporting process.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2308/aud.2004.23.1.69

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 1,664

Metadata

Authors
Abbott, L. J., Parker, S., & Peters, G. F.
Venue
AUDITING: A Journal of Practice & Theory
Published
2004-03-01
Volume
23
Issue
1
Pages
69-87
ISSN
  • 0278-0380 (ISSN-L)
  • 1558-7991
OpenAlex
W2108377819
Cited by
1,664
References
0
FWCI
117.13
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Audit Committee Characteristics and Restatements. https://app.cochat.ai/papers/10.2308/aud.2004.23.1.69
The paper
Abbott, L. J., Parker, S., & Peters, G. F. (2004). Audit Committee Characteristics and Restatements. AUDITING: A Journal of Practice & Theory. https://doi.org/10.2308/aud.2004.23.1.69

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.