Estimation risk and auditor conservatism

Estimation risk and auditor conservatism Estimation risk occurs when individuals form beliefs about parameters that are unknown. We examine how auditors respond to the estimation risk that arises when they form beliefs about the likelihood of client bankruptcy. We argue that auditors are likely to become more conservative when facing higher estimation risk because they are risk-averse. We find that estimation risk is of first-order importance in explaining auditor behavior. In particular, auditors are more likely to issue going-concern opinions, are more likely to resign, and charge higher audit fees when the standard errors surrounding the point estimates of bankruptcy are larger. To our knowledge, this is the first study to quantify estimation risk using the variance-covariance matrix of coefficient estimates taken from a statistical prediction model. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Review of Accounting Studies Springer Journals

Estimation risk and auditor conservatism

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Publisher
Springer US
Copyright
Copyright © 2016 by Springer Science+Business Media New York
Subject
Business and Management; Accounting/Auditing; Corporate Finance; Public Finance
ISSN
1380-6653
eISSN
1573-7136
D.O.I.
10.1007/s11142-016-9382-y
Publisher site
See Article on Publisher Site

Abstract

Estimation risk occurs when individuals form beliefs about parameters that are unknown. We examine how auditors respond to the estimation risk that arises when they form beliefs about the likelihood of client bankruptcy. We argue that auditors are likely to become more conservative when facing higher estimation risk because they are risk-averse. We find that estimation risk is of first-order importance in explaining auditor behavior. In particular, auditors are more likely to issue going-concern opinions, are more likely to resign, and charge higher audit fees when the standard errors surrounding the point estimates of bankruptcy are larger. To our knowledge, this is the first study to quantify estimation risk using the variance-covariance matrix of coefficient estimates taken from a statistical prediction model.

Journal

Review of Accounting StudiesSpringer Journals

Published: Dec 21, 2016

References

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