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The Use of Unsigned Earnings Quality Measures in Tests of Earnings Management

The Use of Unsigned Earnings Quality Measures in Tests of Earnings Management ABSTRACT This paper examines the implications of using the absolute value of discretionary accruals when testing for earnings management. First, we analytically develop the mean and variance of the distribution of absolute discretionary accruals, and show that the expected value is an increasing function of the variance in the underlying error term from the first‐stage discretionary accrual estimation model. Second, we highlight several firm characteristics that are related to the error variance in discretionary accrual estimation models. Using simulations, we show that correlation between the earnings management partitioning variable and these firm characteristics leads to an overrejection of the null hypothesis of no earnings management. Third, we provide research design suggestions to help researchers mitigate the potential bias arising from the use of unsigned measures of earnings management. Using these suggestions, we replicate a recent study, and demonstrate that the inferences change after controlling for operating volatility. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Accounting Research Wiley

The Use of Unsigned Earnings Quality Measures in Tests of Earnings Management

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References (47)

Publisher
Wiley
Copyright
Copyright © 2007 Wiley Subscription Services, Inc., A Wiley Company
ISSN
0021-8456
eISSN
1475-679X
DOI
10.1111/j.1475-679X.2007.00259.x
Publisher site
See Article on Publisher Site

Abstract

ABSTRACT This paper examines the implications of using the absolute value of discretionary accruals when testing for earnings management. First, we analytically develop the mean and variance of the distribution of absolute discretionary accruals, and show that the expected value is an increasing function of the variance in the underlying error term from the first‐stage discretionary accrual estimation model. Second, we highlight several firm characteristics that are related to the error variance in discretionary accrual estimation models. Using simulations, we show that correlation between the earnings management partitioning variable and these firm characteristics leads to an overrejection of the null hypothesis of no earnings management. Third, we provide research design suggestions to help researchers mitigate the potential bias arising from the use of unsigned measures of earnings management. Using these suggestions, we replicate a recent study, and demonstrate that the inferences change after controlling for operating volatility.

Journal

Journal of Accounting ResearchWiley

Published: Dec 1, 2007

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