Audit Hours and Unit Audit Price of Industry Specialist Auditors: Evidence from Korea
Bibliographic record
Abstract
Abstract Higher audit fees associated with auditor industry specialization could represent higher unit price charged by industry specialist auditors (ISAs) or the provision of a greater quantity of audit services. This study exploits a field setting in Korea, where the disclosure of audit hours is required in company annual reports, and finds that ISAs charge significantly higher total audit fees but also expend significantly greater audit hours than non‐ISAs. When audit fees and hours are considered together, the unit audit price of ISAs is significantly lower than that of non‐ISAs. This indicates that higher total audit fees associated with ISAs are likely to be attributable to greater audit hours associated with ISAs. However, greater audit hours for ISAs may suggest higher audit quality or may simply indicate that the additional audit work performed by ISAs is conducted by relatively cheaper junior auditors. Our work provides an alternative explanation for the higher total audit fees documented in the previous studies.
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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 | 0.046 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.002 |
| 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 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".