Audit firm tenure disclosure and nonprofessional investors' perceptions of auditor independence: The mitigating effect of partner rotation disclosure
Bibliographic record
Abstract
Abstract In 2017, the PCAOB began requiring audit firm tenure disclosure within the audit report for SEC registrant clients. Many commenters raised the concern that prominent disclosure of firm tenure would lead investors to inappropriately infer a negative relation between audit quality and long tenure. This is particularly troubling given that empirical evidence generally does not support this concern. In our first experiment, we predict and find that disclosing an audit firm's long tenure within the audit report increases investors' perceptions that the audit firm's independence was impaired while conducting the audit. However, we also identify an intervention that mitigates the effects of disclosing long tenure—an accompanying disclosure in the audit report of the firm's adherence to the SEC's mandatory partner rotation requirement. We find that such a disclosure moderates the effect of long tenure disclosure such that in the absence (presence) of a partner rotation disclosure, investors do (do not) perceive increased independence impairment when long firm tenure is disclosed. In a second experiment, we predict and find that long firm tenure disclosure reduces investors' preference to invest in an otherwise quantitatively optimal investment and that this relation is driven, in part, by perceptions of independence impairment. Again, this result is attenuated by partner rotation disclosure. Our results should be useful to regulators in understanding the effects of their disclosure mandate and to audit firms in understanding a practical way in which they might mitigate the implications of such effects.
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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 | 0.005 | 0.039 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".