The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Female CEOs and Core Earnings Quality: New Evidence on the Ethics Versus Risk-Aversion Puzzle
Open accessAbstract
The question of whether females tend to act more ethically or risk-averse compared to males is an interesting ethical puzzle. Using a large sample of US firms over the 1992–2014 period, we investigate the effect that the gender of a chief executive officer (CEO) has on earnings management using classification shifting. We find that the pre-Sarbanes–Oxley (SOX) Act period was characterized by high levels of classification shifting by both female and male CEOs, but the magnitude of such practices is, surprisingly, significantly higher in firms with female CEOs than in those with male CEOs. By contrast, our results suggest that following the passage of the punitive SOX Act, classification shifting by female CEOs declined significantly, whilst it remained pervasive in firms with male CEOs. This suggests that the observable differences in financial reporting behavior between male and female CEOs seem to be because female CEOs are more risk-averse, but not necessarily more ethically sensitive than their male counterparts are. The central tenets of our findings remain unchanged after several additional checks, including controlling for alternative earnings management techniques, corporate governance mechanisms, CEO and chief financial officer characteristics and propensity score-matching.
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.
Integrity signals
Registry
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.
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
Cites
Gender differences in risk taking: a meta-analysis
Byrnes, J. P., Miller, D. C., & Schafer, W. D. (1999) · Psychological Bulletin · doi:10.1037/0033-2909.125.3.367 · Cited by 3,723
Cited by
Khatib, S. F. A., Abdullah, D. F., Elamer, A. A., & Abueid, R. (2021) · Business Strategy and the Environment · doi:10.1002/bse.2665 · Cited by 322
Metadata
- Authors
- Zalata, A. M., Ntim, C., Aboud, A., & Gyapong, E.
- Venue
- Journal of Business Ethics
- Published
- 2018-05-24
- Volume
- 160
- Issue
- 2
- Pages
- 515-534
- ISSN
- 0167-4544 (ISSN-L)
- 1573-0697
- OpenAlex
- W2804741781
- Cited by
- 210
- References
- 1
- FWCI
- 43.41
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Female CEOs and Core Earnings Quality: New Evidence on the Ethics Versus Risk-Aversion Puzzle. https://app.cochat.ai/papers/10.1007/s10551-018-3918-y
- The paper
- Zalata, A. M., Ntim, C., Aboud, A., & Gyapong, E. (2019). Female CEOs and Core Earnings Quality: New Evidence on the Ethics Versus Risk-Aversion Puzzle. Journal of Business Ethics. https://doi.org/10.1007/s10551-018-3918-y
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.