مقالات ISI حسابداری

Estimation sample selection for discretionary accruals models

A B S T R A C T

We examine how the criteria for choosing estimation samples affect the ability to detect
discretionary accruals, using several variants of the Jones (1991) model. Researchers commonly
estimate accruals models in cross-section, and define the estimation sample as all firms in the
same industry. We examine whether firm size performs at least as well as industry membership
as the criterion for selecting estimation samples. For U.S. data, we find estimation samples
based on similarity in lagged assets perform at least as well as estimation samples based
on industry membership at detecting discretionary accruals, both in simulations with seeded
accruals between 2% and 100% of total assets and in tests examining restatement data and
AAER data. For non-U.S. data, we find industry-based estimation samples result in significant
sample attrition and estimation samples based on lagged assets perform at least as well as
estimation samples based on industry membership, both in simulations and in tests examining
German restatement data, with substantially less sample attrition.
& 2013 Elsevier B.V. All rights reserved.

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کد محصول : شماره 298

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