Bibliographic record
Abstract
Abstract The finance literature identifies two agency problems between managers and outside shareholders. First, there is a divergence‐of‐interests problem as management ownership falls. Second, there is an offsetting entrenchment problem when management ownership increases within intermediate regions of ownership. Agency problems are mitigated through contracting, but contracts are often based on accounting numbers prepared by management. Because accounting numbers must be reliable for contracts to be enforced, agency theory predicts a demand for higher‐quality auditors when agency problems are more severe. However, extant studies find no significant or robust relation between management ownership and audit firm size. In contrast to extant research, this study samples unlisted companies rather than listed companies for two reasons. First, the monitoring value of auditing may be higher in unlisted companies because they are less vulnerable to takeover and they are required to disclose much less nonaccounting information to shareholders. Second, unlisted companies have greater variation in management ownership, which permits more powerful tests of the demand for auditing as ownership varies between 0 percent and 100 percent. Consistent with a divergence‐of‐interests effect, the association between management ownership and audit firm size is found to be significantly negative within low and high regions of management ownership. The association is flatter and slightly positive within intermediate regions of management ownership, suggesting the existence of an opposite entrenchment effect. The negative association and the nonlinearity is consistent with the finance literature and with the predictions of agency theory.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".