Employee Movements from Audit Firms to Audit Clients
Bibliographic record
Abstract
ABSTRACT Regulators have expressed concerns about the “revolving door” between auditors and clients, whereby audit employees move directly from audit firms to audit clients (i.e., “direct alumni hires”). Regulators are concerned that these direct hires could compromise audit quality, partly because these employees could have previously audited their hiring company's financial statements. In contrast, we examine accounting and finance executives who move indirectly from audit firms to audit clients and who could not have previously audited the hiring company's financial statements (i.e., “indirect alumni hires”). We show that indirect hires occur more often than the direct hires that have concerned regulators. We predict and find that both direct and indirect alumni hires are associated with lower rates of executive turnover and audit firm turnover. However, there is no evidence that the reduced rates of executive turnover are explained by managerial entrenchment or that these hires are associated with lower audit quality. Overall, our findings suggest that direct and indirect employee movements from audit firms to audit clients are beneficial to executives, audit clients, and audit firms because they reduce the incidence of costly turnover.
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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 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".