Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 4,623

The DOI matches its Crossref record.

A Review of the Earnings Management Literature and Its Implications for Standard Setting

Open access
Healy, Paul M., Wahlen, James M.·1999·Accounting Horizons

Abstract

In this paper we review the academic evidence on earnings management and its implications for accounting standard setters and regulators. We structure our review around questions likely to be of interest to standard setters. In particular, we review the empirical evidence on which specific accruals are used to manage earnings, the magnitude and frequency of any earnings management, and whether earnings management affects resource allocation in the economy. Our review also identifies a number of opportunities for future research on 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.

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

Integrity signals

Registry

Crossref · 10.2308/acch.1999.13.4.365

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 4,623

Metadata

Authors
Healy, P. M., & Wahlen, J. M.
Venue
Accounting Horizons
Published
1999-12-01
Volume
13
Issue
4
Pages
365-383
ISSN
  • 0888-7993 (ISSN-L)
  • 1558-7975
OpenAlex
W4230336695
Cited by
4,623
References
0
FWCI
132.52
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: A Review of the Earnings Management Literature and Its Implications for Standard Setting. https://app.cochat.ai/papers/10.2308/acch.1999.13.4.365
The paper
Healy, P. M., & Wahlen, J. M. (1999). A Review of the Earnings Management Literature and Its Implications for Standard Setting. Accounting Horizons. https://doi.org/10.2308/acch.1999.13.4.365

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.