2018
DOI: 10.1111/abac.12121
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Inference‐in‐residuals as an Estimation Method for Earnings Management

Abstract: The paper tests the assumptions underlying the inference-in-residuals method as an estimation framework for detecting and classifying suspects of earnings management. We derive several systematic biases that are shown to confound inference-in-residuals and, depending on the data, could render the method a futile exercise. This is not a matter of model specification, but a limitation of the statistical method. Also, it is shown that the method of using estimated residuals in a second stage regression on economi… Show more

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Cited by 35 publications
(42 citation statements)
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“…() and Christodoulou et al . (). While it is not clear that these research design choices, individually or in aggregate, would change the inferences of Capalbo et al .…”
Section: Suggestions For Improving the Research Design Of Discretionamentioning
confidence: 97%
See 3 more Smart Citations
“…() and Christodoulou et al . (). While it is not clear that these research design choices, individually or in aggregate, would change the inferences of Capalbo et al .…”
Section: Suggestions For Improving the Research Design Of Discretionamentioning
confidence: 97%
“…The ability to make strong inferences about earnings management in a single firm based on discretionary accruals is another challenge, which Christodoulou et al . () examine. Given the noise in discretionary accrual estimates, they are more likely to be useful in capturing the average extent of earnings management among a portfolio of firms rather than the exact amount of earnings management in any one particular firm.…”
Section: Problems With Discretionary Accrual Modelsmentioning
confidence: 99%
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“…2) on earnings management, which features papers by Jones (), Jackson (), Christodoulou et al . (), Zha Geidt (2018), Capalbo et al . (), and McNichols and Stubben ().…”
mentioning
confidence: 99%