Relation between Auditor Quality and Tax Aggressiveness: Implications of Cross-Country Institutional Differences
Why this work is in the frame
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Bibliographic record
Abstract
SUMMARY Using an international sample of firms from 31 countries, we study the relation between auditor quality and corporate tax aggressiveness. Employing an indicator variable for tax aggressiveness when the firm's corporate tax avoidance measure is within the top quintile of each country-industry combination, we find strong evidence that auditor quality is negatively associated with the likelihood of tax aggressiveness, even after controlling for other institutional determinants such as home-country tax system characteristics. We also find that the negative relation between auditor quality and the likelihood of tax aggressiveness is more pronounced in countries where investor protection is stronger, auditor litigation risk is higher, the audit environment is better, and capital market pressure is higher. JEL Classifications: M42; M48; H20; F30.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.004 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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