We investigate whether the PCAOB's decision to expand the number and location of its inspection offices in 2009 improved the reliability of US audits. We use a difference‐in‐differences empirical design to consider the impacts of the expansion on audit quality and find that audit quality significantly improved following the PCAOB's expansion in markets where new offices opened relative to markets without an office opening. We find that the improvement in audit quality appears to be driven by auditors' reaction to real changes in PCAOB oversight and that triennially inspected auditors appear to be impacted the most by this office expansion. Our findings provide new insights into the PCAOB's operational decision‐making and suggest that the regulator's additional investment in audit oversight was effective in improving audit quality.

Statement of Financial Accounting Standards (SFAS) 141 (Accounting Standards Codification [ASC] 805) requires that firms record identifiable assets and liabilities acquired in business combinations at fair value. While the FASB argued that these fair values should provide users with incremental decision‐useful information, opponents have continuously argued that they are too difficult to reliably estimate and could be subject to managerial discretion. Using hand‐collected data from US mergers and acquisitions, we find that, on average, fair value adjustments predict future cash flows incrementally beyond pre‐deal book values and cash flows, goodwill, and other firm and deal characteristics. We also find that the relation between fair value adjustments and future cash flows varies predictably based on several factors that affect managers' ability and incentives to provide accurate estimates. Furthermore, despite prevailing concerns about their usefulness, we find that fair values for intangible assets predict future cash flows, on average. However, we find that this relation is driven primarily by the fair values of customer‐ and contract‐related intangible assets and that the fair values of other types of identifiable intangibles do not necessarily convey incremental decision‐useful information. Finally, we find that users appear to rely on the information conveyed by these disclosures, as evidenced by revisions to analysts' forecasts and changes in stock prices. Overall, our findings provide insight regarding the usefulness of current standards and users' reliance on fair values in business combinations.

The elimination of goodwill amortization in 2001 brought about significant change in how companies are required to account for goodwill. This change in accounting also brought with it new challenges for auditors, namely evaluating the reasonableness of management's assumptions related to goodwill valuation. In addition to introducing technical challenges, this task is particularly difficult given the misalignment in incentives it creates between managers who likely prefer to avoid recording an impairment and auditors who seek to minimize the bias in management's impairment testing. This study focuses on the consequences of the misaligned incentives that auditors face under the current goodwill assessment process. We find that the decision to record a goodwill impairment is associated with an increase in the probability of auditor dismissal. Consistent with the presence of significant friction with clients, our results also indicate that the likelihood of auditor dismissals is negatively related to the favorability of the impairment decision. Furthermore, we find that companies impairing goodwill prior to dismissing auditors subsequently employ auditors that are, on average, more favorable to clients in their impairment decisions.

Propensity score matching (PSM) has become a popular technique for estimating average treatment effects (ATEs) in accounting research. In this study, we discuss the usefulness and limitations of PSM relative to more traditional multiple regression (MR) analysis. We discuss several PSM design choices and review the use of PSM in 86 articles in leading accounting journals from 2008–2014. We document a significant increase in the use of PSM from zero studies in 2008 to 26 studies in 2014. However, studies often oversell the capabilities of PSM, fail to disclose important design choices, and/or implement PSM in a theoretically inconsistent manner. We then empirically illustrate complications associated with PSM in three accounting research settings. We first demonstrate that when the treatment is not binary, PSM tends to confine analyses to a subsample of observations where the effect size is likely to be smallest. We also show that seemingly innocuous design choices greatly influence sample composition and estimates of the ATE. We conclude with suggestions for future research considering the use of matching methods. Data Availability: All data used are available from sources cited in the text.

Inadequate testing of fair value accounting estimates, including goodwill, is often cited as an audit deficiency in PCAOB inspection reports, and, in some cases, these deficiencies have led to enforcement actions against the auditor. As a result of these issues, the PCAOB recently proposed a new auditing standard for fair value accounting. While these regulatory actions suggest that auditors are challenged by the fair value regime of accounting for goodwill, they also highlight an area where the auditor could be influenced by their financial ties to a client. In this study, we test whether nonaudit fees are associated with goodwill impairment decision outcomes. Our results indicate that the nonaudit fees a client pays are inversely related to the likelihood of impairment in settings where goodwill is likely to be impaired. Additional examinations suggest that the negative relation between nonaudit fees and auditor independence is driven by clients who are most incentivized to exert their influence over the auditor.

Despite the intuitive appeal, prior research finds mixed evidence on whether higher audit fees translate to superior audit quality. Under the assumption that product differentiation between auditors is based, in large part, on the level of financial statement assurance, we propose more refined measures of excess audit fees that separate auditor premiums from other fee premiums. Consistent with our conjecture, we identify significant variation in audit pricing across auditors (i.e., auditor premiums) that relates positively to audit quality. Conversely, we find no evidence that higher engagement‐specific fee premiums (i.e., fee model residuals) are positively related to proxies for audit quality. Additional tests indicate that our results do not simply reflect premiums attributable to auditor characteristics evaluated in prior research (e.g., Big 4 membership, office size, and industry expertise). In fact, our findings suggest that the positive association between auditor premiums and audit quality is better captured at the auditor level than it is at the auditor “tier,” office, auditor‐industry, or engagement levels. In sum, our results suggest that auditors charging higher fees, on average, deliver superior levels of financial statement assurance, but engagement‐specific fee premiums do not reflect quality‐enhancing audit effort. These contrasting results provide a possible explanation for the mixed findings in prior research.

This paper explores U.S. public firms’ cryptocurrency holdings and accounting practices from 2013 to 2022 against the backdrop of the recently enacted crypto accounting rule, ASU 2023‐08. Descriptive analyses suggest exponential growth in corporate crypto holdings and significant variation in crypto accounting practices, underscoring the rule's necessity. Hypothesis tests using the pre‐rule data reveal three insights with direct relevance to the rule. First, firms appear to view crypto assets more akin to investments than intangible assets, consistent with the rule's mandate of the fair value model. Second, Big 4 auditors steer firms toward the impairment model and less detailed presentation choices. This conservative approach is unlikely to meet the new rule's goal of providing the most decision‐useful information. Third, increased liquidity of crypto markets prompts the use of the fair value model and a more detailed presentation, consistent with the rule's focus on more actively traded tokens. However, within our sample, we find some evidence consistent with fair value reporting increasing stock return volatility and no evidence that it enhances earnings informativeness.