Tax Avoidance at Public Corporations Driven by Shareholder Taxes: Evidence from Changes in Dividend Tax Policy
Bibliographic record
Abstract
ABSTRACT We exploit changes in a country's integration of corporate and shareholder taxes to identify the effect of investor-level taxes on costly corporate tax avoidance. Specifically, we rely on European countries eliminating imputation systems in different years in response to supranational judicial rulings. These eliminations, which are exogenous to the firm, remove managers' disincentive to engage in tax avoidance if they consider investor-level taxes. Using a difference-in-differences model with fixed effects, we find that the average firm affected by an elimination reduces its cash effective tax rate by 5.5 percent. Placebo tests support that this effect exists only for countries and years for which eliminations occur. Consistent with our cross-sectional predictions, we find that results are stronger for firms with lower growth opportunities, higher dividend payout, lower foreign income, and higher closely held ownership. Further analysis provides evidence consistent with shifting income to foreign countries as one method of tax avoidance. JEL Classifications: G38; G32; G15; H26.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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; both teacher heads agree on what is shown here.
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".