The Impact of Mandatory Auditor Tenure Disclosures on Ratification Voting, Auditor Dismissal, and Audit Pricing*
Bibliographic record
Abstract
ABSTRACT Recent amendments to Auditing Standard (AS) 3101 require disclosure of the initial year of the auditor‐client relationship in the audit report. As the standard was being discussed, auditors, clients, and some PCAOB members expressed reservations about the necessity of tenure disclosures and were particularly concerned about disclosing tenure in the audit report. Our purpose is to investigate whether the tenure disclosures mandated by AS 3101 are associated with changes in stakeholder behavior. We predict and find that after the implementation date, ratification votes against the auditor and the probability of subsequent auditor dismissal increase for long‐tenured versus short‐tenured auditors. Results from a path analysis further suggest that the relative increase in dismissal for long‐tenured auditors appears to be influenced directly through tenure disclosures and indirectly through ratification voting. We also predict and find that negotiating power decreases for long‐tenured auditors as evidenced by lower audit fees. Our results are comparable for companies that voluntarily disclosed and companies that did not disclose auditor tenure in their proxy statements prior to the AS 3101 amendment. Overall, our study suggests that mandatory disclosure of auditor tenure in the audit report significantly affects stakeholder behavior. The PCAOB should consider our findings carefully as they evaluate whether AS 3101 is achieving its intended purpose.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.083 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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 source (direct Gemma or distilled Codex), 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".