Abstract
Because discretionary accruals are known to be noisy proxies of earnings management that often produce biased results, we argue that a correlation between discretionary accruals and a hypothesized factor is generally not an adequate basis for valid inferences about earnings management. In this commentary, we propose and discuss a set of suggestions for improving the research design of studies on earnings management that use discretionary accruals. Specifically, we discuss suggestions for developing predictions about earnings management, choosing among discretionary accrual proxies, estimating discretionary accruals, addressing potential bias in the estimates, and critically evaluating the results obtained.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
