The incidence of Payroll Taxes in Ontario and Quebec; Evidence from collective agreements for 1985-2007
Bibliographic record
Abstract
This study uses an original data set, combining information for all collective agreements covering more than 500 employees signed in Quebec or Ontario from 1985 to 2007 and information on payroll taxes and other variables, to measure the incidence of an increase in payroll tax. The results of this model show that that after one year, a one percentage point increase in the general payroll tax reduces wages growth by 1/2 of a percentage point in Quebec and 3/10 of a point in Ontario. Cette étude utilise une base de données originale regroupant les conventions collectives couvrant plus de 500 employés signées au Québec ou en Ontario de 1985 `à 2007 et des informations sur les taxes sur la masse salariale et d'autres variables, afin de mesurer l'effet d'une augmentation de taxe sur la masse salariale. Les résultats de ce modèle indiquent qu'après un an, une augmentation d'un point de pourcentage des taxes générales sur la masse salariale fait diminuer la croissance des salaires de 1/2 point de pourcentage au Québec et 3/10 de point de pourcentage en Ontario.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".