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.

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.

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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.