Auditing standards task auditors with collecting sufficient appropriate evidence to form audit judgments. Yet, cognitive psychology documents a robust finding in which people evaluate a bundle of relevant, directionally consistent evidence as though averaging the strength of the components. In consequence, a bundle of evidence may be viewed as weaker evidence than the bundle's strongest evidence item alone. We experimentally examine whether this averaging effect occurs in an audit context, and we test a potential moderator. In three independent mini‐cases, we ask auditor participants to make judgments about going concern, internal controls, and fraud risk. We present auditors with unfavorable audit evidence relevant to each judgment, manipulating whether we present a single strong evidence item or bundle it with a weaker evidence item. We also manipulate the auditor's initial impression of the client's state. We find that experienced auditors succumb to the averaging effect, making more strongly unfavorable judgments in response to the single evidence item than the bundle, and that this bias is reduced when the observed evidence is inconsistent with the auditor's initial impression. We interpret our results as consistent with the dual‐processing theory of cognition.

We investigate whether and how a “critical audit matter” (CAM) disclosure affects managers' real operating decisions in two contexts (issuing a loan that decreases versus increases the average risk profile of loan portfolios, or choosing to hedge versus speculate on commodity risk). We expect that a CAM disclosure increases disclosure costs and implies expanded auditor support for both types of activities, but we expect implied auditor support to be valued more highly for risk-increasing than for risk-decreasing activities. As a result, we predict that a CAM disclosure decreases managers' risk-decreasing activities (due to increased disclosure costs) more than managers' risk-increasing activities (as the implied auditor support counteracts the increased disclosure costs). We find evidence consistent with our prediction across multiple experiments. Our study sheds light on the unintended consequences of a CAM disclosure and provides insight to relevant parties as the new standard goes into effect.

Agents often inflate measured performance by distorting operating decisions (e.g., real earnings management) and/or reporting decisions (e.g., accruals management). Across four studies, we find that public judgments of distortion’s acceptability largely reflect assessments of how harmful and norm-violating the distortion is. Judgments of operating distortion primarily reflect assessments of harm, whereas judgments of reporting distortion primarily reflect assessments of norm violation. These results are consistent with the Theory of Dyadic Morality (Gray, Waytz, and Young 2012; Schein and Gray 2018). We also find that those who perceive an accounting system as more unfairly withholding an agent’s bonus assess distortion (especially reporting distortion) to be less norm-violating. Those who perceive the performance measure as less appropriate for capturing the value of performance to stakeholders assess distortion (especially operating distortion) to be more harmful. Assessments of distortions’ harm and norm violation explain a substantial portion of the variation in acceptability judgments.