The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Discretionary Revenues as a Measure of Earnings Management
Open accessAbstract
ABSTRACT: This study examines the ability of revenue and accrual models to detect simulated and actual earnings management. The results indicate that revenue models are less biased, better specified, and more powerful than commonly used accrual models. Using a simulation procedure, I find that revenue models are more likely than accrual models to detect a combination of revenue and expense manipulation. Using a sample of firms subject to SEC enforcement actions for a mix of revenue- and expense-related misstatements, I find that, although revenue models detect manipulation, accrual models do not. These findings provide support for using measures of discretionary revenues to study earnings management.
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
Risk, Return, and Equilibrium: Empirical Tests
Fama, E. F., & MacBeth, J. D. (1973) · Journal of Political Economy · doi:10.1086/260061 · Cited by 14,258
Earnings Management During Import Relief Investigations
Jones, J. J. (1991) · Journal of Accounting Research · doi:10.2307/2491047 · Cited by 8,353
Performance matched discretionary accrual measures
Kothari, S. P., Leone, A. J., & Wasley, C. E. (2005) · Journal of Accounting and Economics · doi:10.1016/j.jacceco.2004.11.002 · Cited by 6,947
Detecting Earnings Management.
Dechow, P., & Sloan, R. G. (1995) · The Accounting Review · doi:10.2308/tar-9505096112 · Cited by 5,662
The Quality of Accruals and Earnings: The Role of Accrual Estimation Errors
Dechow, P. M., & Dichev, I. D. (2002) · The Accounting Review · doi:10.2308/accr.2002.77.s-1.35 · Cited by 5,152
A Review of the Earnings Management Literature and Its Implications for Standard Setting
Healy, P. M., & Wahlen, J. M. (1999) · Accounting Horizons · doi:10.2308/acch.1999.13.4.365 · Cited by 4,623
DECHOW, P. M., SLOAN, R. G., & SWEENEY, A. P. (1996) · Contemporary Accounting Research · doi:10.1111/j.1911-3846.1996.tb00489.x · Cited by 4,065
Earnings management to avoid earnings decreases and losses
Burgstahler, D., & Dichev, I. (1997) · Journal of Accounting and Economics · doi:10.1016/s0165-4101(97)00017-7 · Cited by 3,829
(2012) · Asian Financial Statement Analysis · doi:10.1002/9781119204763.ch4 · Cited by 3,821
The effect of bonus schemes on accounting decisions
Healy, P. M. (1985) · Journal of Accounting and Economics · doi:10.1016/0165-4101(85)90029-1 · Cited by 3,283
Cited by
Financial Reporting Quality and Investment Efficiency of Private Firms in Emerging Markets
Chen, F., Hope, O.-K., Li, Q., & Wang, X. (2011) · The Accounting Review · doi:10.2308/accr-10040 · Cited by 1,254
Does Earnings Management Affect Firms’ Investment Decisions?
McNichols, M. F., & Stubben, S. R. (2008) · The Accounting Review · doi:10.2308/accr.2008.83.6.1571 · Cited by 961
Self-citationThe effects of financial reporting and disclosure on corporate investment: A review
Roychowdhury, S., Shroff, N., & Verdi, R. S. (2019) · Journal of Accounting and Economics · doi:10.1016/j.jacceco.2019.101246 · Cited by 749
Metadata
- Authors
- Stubben, S. R.
- Venue
- The Accounting Review
- Publisher
- American Accounting Association
- Published
- 2010-03-01
- Volume
- 85
- Issue
- 2
- Pages
- 695-717
- ISSN
- 0001-4826 (ISSN-L)
- 1558-7967
- OpenAlex
- W3121192762
- Cited by
- 517
- References
- 45
- FWCI
- 52.90
- Type
- journal article
- Language
- en
- Open access
- green
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: Discretionary Revenues as a Measure of Earnings Management. https://app.cochat.ai/papers/10.2308/accr.2010.85.2.695
- The paper
- Stubben, S. R. (2010). Discretionary Revenues as a Measure of Earnings Management. The Accounting Review. https://doi.org/10.2308/accr.2010.85.2.695
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.
