Relevant but Delayed Information in Negotiated Audit Fees
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
SUMMARY: Audit fee negotiations conclude with the signing of an engagement letter, typically the first quarter of the year under audit. Yet investors do not learn the audit fee paid until disclosed in the following year's definitive proxy statement. We conjecture that negotiated audit fees impound auditors' consequential private, client-specific knowledge about “bad news” events investors will learn eventually. We demonstrate that a proxy for the year-to-year change in the negotiated audit fee has an economically meaningful positive association with proxies for public realizations of “bad news” events that occur during the roughly 12-month period between the negotiation of the audit fee and the disclosure of the audit fee paid. Our results suggest that negotiated audit fees contain information meaningful to investors and that if disclosed proximate to the signing of the engagement letter instead of the following year, information asymmetry between managers and investors would be reduced. JEL Classifications: G19, D89, M40. Data Availability: Available from public sources identified in the text.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 | 0.141 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.010 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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