Are Auditors Compromised by Nonaudit Services? Assessing the Evidence*
Bibliographic record
Abstract
Abstract Ruddock, Taylor, and Taylor (2006) use an earnings conservatism framework to investigate the effects of nonaudit services (NAS) on earnings conservatism, and to test whether audit quality was impaired by NAS in Australia during the 1990s. They find no evidence of differential conservatism conditional on the level of NAS fees paid to auditors, and thus conclude that NAS have no adverse effect on audit quality. While this result may not extrapolate to the U.S. setting due to institutional difference between the two countries, the study does add to a growing body of empirical evidence that questions whether there is any logical rationale for restricting the scope of the services that auditors provide to their audit clients. In reviewing the NAS research literature over the past 40 years, one has to conclude that there is no “smoking gun” evidence linking the provision of nonaudit services with audit failures. However, the literature also finds that NAS can adversely affect the appearance of auditor independence, and this may be more than a “mere perception” problem, because there is also evidence that stock prices are significantly lower for companies that pay their auditors large fees for nonaudit services.
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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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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".