Detecting Earnings Management.
Patricia Dechow, Richard G. Sloan
Abstract
Patricia Dechow, Richard G. Sloan
Abstract
Abstract Evaluates alternative accrual-based models for detecting earnings management. Comparison of the specification and power of commonly used test statistics; Application of the models to a random sample of firm-years; Importance of controlling for financial performance when investigating earnings management stimuli that are correlated with financial performance.
OpenAlex reports 6052 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Abstract Evaluates alternative accrual-based models for detecting earnings management. Comparison of the specification and power of commonly used test statistics; Application of the models to a random sample of firm-years; Importance of controlling for financial performance when investigating earnings management stimuli that are correlated with financial performance.
Key concepts: Accrual, Earnings management, Accounting, Econometrics, Sample (material), Earnings, Extant taxon, Commission