The Monetary Transmission Mechanism and Inflation Targeting: A Regime-Switching VAR Approach for Canada
Bibliographic record
Abstract
This study employs a Markov-switching VAR with regime-dependent dynamics to assess the transmission mechanism of monetary policy in Canada. The regime-switching estimations divide the sample period stochastically into two continuous regimes that corresponds to the periods before and after explicit-inflation targeting in Canada. The empirical results indicate relatively large differences in both the innovation process due to the variance component of the VAR and the propagation mechanism due to the regime-dependent systematic component. The pre-targeting regime corresponds to much larger innovations in the macroeconomic variables and overall larger systematic responses of the macroeconomic variables to the innovation processes, suggesting a stronger monetary transmission mechanism in the regime. However, variance decompositions and counterfactual analysis suggest that monetary policy has become more responsive to fluctuations in output growth and inflation in the target regime. Overall, about 80 per cent of the variations in the monetary policy rate in the current regime can be explained by the systematic reactions of policy to output growth and inflation at the relevant policy horizons.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".