We conduct an experiment with 749 mock jurors to examine whether juries evaluate auditors differently under precise versus imprecise standards when the client reporting is held constant. We find that the impact of standard precision on jury verdicts depends on the aggressiveness of the audit client's financial reports and on the industry reporting norm. When the client's reporting is more aggressive and violates the precise standard, juries return fewer verdicts against auditors under the imprecise standard, especially when the reporting complies with the industry norm. When the client's reporting is less aggressive and complies with the precise standard, juries return more verdicts against auditors under the imprecise standard, but only when the client's reporting is more aggressive than the industry norm. Compliance with industry reporting norms appears to provide auditors with safe harbor protection from negligence verdicts when accounting standards are imprecise.

Relevance and reliability (now referred to as “representational faithfulness”) are qualities of financial information that both the Financial Accounting Standards Board and the International Accounting Standards Board use in setting standards for financial reporting. Despite their importance, very little research has addressed how financial statement users apply these constructs. Via experiments set within the fair value context, we show that users do not view them as independent constructs. Instead, variations in properties that are associated with the reliability of a measurement influence users' assessments of the relevance of fair value. The relationship between assessed relevance and assessed reliability is unidirectional, in that factors underlying reliability influence judgments of relevance, but factors underlying relevance do not influence judgments of reliability. Our findings are important because inappropriate assessments of relevance can influence firm valuation. The results are particularly meaningful in the context of fair value because such measurements can vary widely in reliability.