Tendance des dépenses publiques et de l'inflation et évolution comparative du taux de chômage au Canada et aux États-Unis
Bibliographic record
Abstract
The authors' purpose in this paper is to isolate the respective contributions of budgetary and monetary policy in Canada and the United States to the behaviour of unemployment rates in the two countries. Their method consists of estimating VAR models and using long-term identification restrictions to perform a structural analysis. Budgetary policy shocks are defined as those VAR innovations that cause a change in the trend of the public-spending-to-GDP ratio, while monetary policy shocks are those innovations that modify the trend of inflation. The major finding is that the comparative evolution of unemployment rates in Canada and the United States is linked primarily to the different budgetary policy choices in the two countries. Monetary policy does have some effect on the behaviour of unemployment rates in the two countries, but it does not explain the divergent trends, the primary cause of the U.S.-Canada unemployment gap that has been apparent since the 1970s. The authors estimate, moreover, that the trend in the Canadian unemployment rate has declined significantly over the last few years.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".