Comment les hauts revenus réagissent-ils à l’impôt sur le revenu ?
Bibliographic record
Abstract
Dans cette analyse, nous estimons l’effet dynamique d’une hausse du taux d’imposition des hauts revenus sur les recettes fiscales au Québec. Depuis 10 ans, l’imposition des hauts revenus a augmenté considérablement au Québec, avec deux hausses successives en 2013 et 2016. Nous utilisons des microdonnées longitudinales provenant d’un grand échantillon de contribuables. Les effets obtenus par l’estimation suggèrent qu’une taxation accrue des hauts revenus ne permet pas à court terme de récolter davantage de recettes afin de poursuivre des objectifs de redistribution. Les effets à long terme sont plus positifs. Nous discutons également des mécanismes qui mènent à cette réponse dynamique.
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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 | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 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".