An Empirical Investigation of Audit Fees, Nonaudit Fees, and Audit Committees*
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract This study examines the association between audit committee characteristics and the ratio of nonaudit service (NAS) fees to audit fees, using data gathered under the Securities and Exchange Commission's (SEC's) fee disclosure rules. Issues related to NAS fees have been of concern to practitioners, regulators, and academics for a number of years. Prior research suggests that audit committees possessing certain characteristics are important participants in the process of managing the client‐auditor relationship. We hypothesize that audit committees that are independent and active financial monitors have incentives to limit NAS fees (relative to audit fees) paid to incumbent auditors, in an effort to enhance auditor independence in either appearance or fact. Our analysis using a sample of 538 firms indicates that audit committees comprised solely of independent directors meeting at least four times annually are significantly and negatively associated with the NAS fee ratio. This evidence is consistent with audit committee members perceiving a high level of NAS fees in a negative light and taking actions to decrease the NAS fee ratio.
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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 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.001 | 0.001 |
| 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 it