Audit practitioners, academics, and attorneys have expressed concern that disclosing critical audit matters (CAMs) will increase jurors' auditor liability judgments when auditors fail to detect misstatements. In contrast, this study provides theory and experimental evidence that CAM disclosures, under certain conditions, reduce auditor liability judgments as jurors perceive that undetected fraudulent misstatements were more foreseeable to the plaintiff (i.e., the financial statement user suing the auditor). However, we find that CAM disclosures only reduce auditor liability for undetected misstatements that, absent CAM disclosure, are relatively difficult to foresee. Finally, CAM disclosures that are unrelated to subsequent misstatements neither increase nor reduce auditor liability judgments relative to the current regime (i.e., where CAMs are not disclosed), but reduce liability judgments relative to reporting that there were no CAMs. As such, we find that, relative to stating there were no CAMs, disclosure of any CAM (i.e., related or unrelated) provides litigation protection in cases of undetected fraud. Consequently, the CAM requirement could incentivize auditors to disclose innocuous boilerplate CAMs, thereby diluting the impact of more warranted CAM disclosures. Data Availabliity: Available from authors upon request.
Multiple social science researchers claim that online data collection, mainly via Amazon's Mechanical Turk (MTurk), has revolutionized the behavioral sciences (Gureckis et al. 2016; Litman, Robinson, and Abberbock 2017). While MTurk-based research has grown exponentially in recent years (Chandler and Shapiro 2016), reasonable concerns have been raised about online research participants' ability to proxy for traditional research participants (Chandler, Mueller, and Paolacci 2014). This paper reviews recent MTurk research and provides further guidance for recruiting samples of MTurk participants from populations of interest to behavioral accounting researchers. First, we provide guidance on the logistics of using MTurk and discuss the potential benefits offered by TurkPrime, a third-party service provider. Second, we discuss ways to overcome challenges related to targeted participant recruiting in an online environment. Finally, we offer suggestions for disclosures that authors may provide about their efforts to attract participants and analyze responses.
We investigate whether and how the structure of retirement savings incentives influences their relative attractiveness to taxpayers, independent of their effect on after-tax returns. To that end, we examine taxpayers’ preferences between defined contribution retirement plans with back-loaded (i.e., Roth) and front-loaded (i.e., traditional) tax incentives. In three experiments, we find limited evidence that individuals appropriately weight temporal tax rate changes, the primary factor differentiating after-tax returns across incentive structures, in their plan preferences. In contrast, we find consistent evidence that the incentive structure’s relation to taxpayers’ broader attitudes and preferences significantly impacts plan preferences. Overall, we find evidence that generally held attitudes and preferences lead to a systematic preference for back-loaded retirement plans even in situations in which taxpayers know that a back-loaded plan is economically dominated by a front-loaded plan. The results have implications for policymakers and others considering how best to encourage retirement savings.
In early 2017, the Public Company Accounting Oversight Board (PCAOB) mandated the disclosure of audit participants, including the lead audit partner and other audit firms participating in the audit (“component auditors”). In this study, we examine whether investors use these disclosures in a way that influences their investment decisions, a primary goal of the PCAOB. Using trading volume, absolute abnormal returns, and bid–ask spreads, we find little evidence of a significant investor response following the disclosure of partner identity or component auditor participation in the first three years of the requirement. We also examine instances where these disclosures are most likely to be informative (e.g., partners associated with restatements or component auditors with PCAOB deficiencies) and find no significant investor response. Taken together, we find little evidence that capital markets respond to partner and component auditor identity in the United States.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.