L’hypothèse du revenu permanent avec attentes rationnelles : une évaluation économétrique canadienne
Bibliographic record
Abstract
Depuis les travaux de Robert Hall (1978), l’hypothèse du revenu permanent avec attentes rationnelles (RP-AR) a été l’objet de nombreuses vérifications empiriques. Le but de cet article est de reprendre et d’unifier un certain nombre de tests qui ont été proposés à l’aide de la méthodologie d’Abel et Mishkin (1983) et de l’appliquer aux données canadiennes. Contrairement aux études précédentes, une attention particulière est accordée au traitement préliminaire des données afin de satisfaire l’hypothèse de stationnarité. Nos résultats empiriques confirment et renforcent les conclusions précédentes en mettant en évidence le rôle particulier de l’agrégat de consommation choisi lors du test.
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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 | 0.053 | 0.180 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.005 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.001 | 0.008 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.026 | 0.002 |
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".