The effect of shareholder scrutiny on corporate tax behavior: Evidence from shareholder tax litigation
Bibliographic record
Abstract
Abstract This study examines the effect ofshareholderscrutiny of corporate tax avoidance behavior and its related financial reporting. Specifically, we explore the factors associated with shareholder tax litigation and its effect on the future tax behavior of the sued firm and its peers. We find that sued firms have lower cash and GAAP effective tax rates (ETRs) and engage in extreme tax avoidance before litigation. After litigation, they decrease tax avoidance activities, relative to matched control firms. Peer firms in the same industry as sued firms similarly reduce their level of tax avoidance and the likelihood of extreme tax avoidance after the litigation, relative to control firms. Additional analyses suggest that sued firms change their tax avoidance behavior, rather than merely their tax financial reporting. Finally, the spillover results are strongest for peer firms with the most tax avoidance (i.e., the lowest cash ETRs) when the sued firm's alleged misconduct is revealed.
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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 | 0.003 | 0.032 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".