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Comparing Abnormal Accruals Estimates across Samples

An International Test

Bibliographic Data

ID19447451
AuthorsErik Peek (0000-0002-8652-5814, Erasmus University Rotterdam, corresponding author), Roger Meuwissen (0000-0002-4889-3990, Maastricht University), Frank Moers (0000-0001-6338-5348, Maastricht University), Ann Vanstraelen (0000-0002-6139-5734, Maastricht University)
Year2013
Volume22
Issue3
Pages533-572
Publication date2013-09-01
Open AccessNo
TypeARTICLE
VenueEuropean Accounting Review (JOURNAL)
Journal identifiersISSN: 0963-8180 • E-ISSN: 1468-4497
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/09638180.2012.746518
OpenAlexW2098466010
LanguageEN
Citations received3
References cited48

This study examines whether accruals models' performance, in terms of predictive accuracy and power to detect earnings management, varies across strongly heterogeneous samples, such as different countries. We analyse the performance of two accruals estimation models, that is, the Modified Jones model and the Dechow–Dichev model. Using accounting data from nine countries for the period 1989–2009, we find that the models exhibit considerable cross-country performance variation and, more importantly, that this variation is systematic. We empirically establish that the international variation in sales growth persistence, accounting practices, and sample size explains a significant proportion of the cross-country performance variation, highlighting a potential inference problem in across-sample comparisons

Accrual · Earnings · Earnings Management · Econometrics · Economics · Estimation · Inference · Predictive power · Sample size determination · Statistics · Auditing, Earnings Management, Governance · Computer Science · Financial Reporting and Valuation Research · Law, Economics, and Judicial Systems · Mathematics · Accounting

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Citations per year0.27
Citation span2015 - 2021 (7)
Highly citedNo

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