Auditor Independence and Fair Value Accounting: An Examination of Nonaudit Fees and Goodwill Impairments
Bibliographic record
Abstract
ABSTRACT 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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".