An Analytical and Empirical Measure of the Degree of Conditional Conservatism

Posted: 3 May 2013 Last revised: 16 Jun 2013

See all articles by Jeffrey L. Callen

Jeffrey L. Callen

University of Toronto - Rotman School of Management

Dan Segal

Interdisciplinary Center (IDC) Herzliyah

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Date Written: May 2, 2013

Abstract

There is a profound gap between models of accounting conservatism and the proxies for conditional conservatism currently used by the empirical literature. Not one of the proxies employed by the empirical literature to date obtains from a rigorous definition of conditional conservatism. In contrast, this study defines conditional conservatism in terms of truncated distributions and derives analytically a nonlinear relation between revisions to returns and earnings news for the conservative firm. This nonlinear relation is shown to be mathematically equivalent to two linear relations conditioned on the firm's degree of conservatism. From these relations, we derive a model-based proxy of the degree of conservatism at the firm-year level which is a function of the determinants of conditional conservatism. To account for the endogeneity of the firm's degree of conservatism and mitigate potential sample selection bias, the model is implemented empirically using a switching regression approach in which the switch point, namely, the degree of conservatism, is both unobservable and endogenously determined. Consistent estimates of the parameters of the switching regression, including the endogenous determinants of conservatism posited by Watts, are obtained by simultaneous maximum likelihood estimation. The results indicate that the degree of conservatism is a positive function of contractual information asymmetry and litigation risk but a negative function of taxes.

Suggested Citation

Callen, Jeffrey L. and Segal, Dan, An Analytical and Empirical Measure of the Degree of Conditional Conservatism (May 2, 2013). Journal of Accounting, Auditing and Finance, Forthcoming, Rotman School of Management Working Paper No. 2259655, Available at SSRN: https://ssrn.com/abstract=2259655

Jeffrey L. Callen (Contact Author)

University of Toronto - Rotman School of Management ( email )

105 St. George Street
Toronto, Ontario M5S 3E6 M5S1S4
Canada
416-946-5641 (Phone)
416-971-3048 (Fax)

Dan Segal

Interdisciplinary Center (IDC) Herzliyah ( email )

P.O. Box 167
Herzliya, 46150
Israel

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