Has the Adoption of Inflation Targeting Represented a Regime Switch ? Empirical Evidence from Canada, Sweden and the UK
Bibliographic record
Abstract
Since 1990, a growing number of countries have adopted inflation targeting (IT) around the world. Empirical evidence on its advantages has been mixed so far, and most assessments have been based on a control group methodology. In this paper, using a MSVAR technique, we assess the adoption of IT in three industrialised countries over time; in addition, we compare their outcomes with a non-IT country, the US. Results are manifold. First, an inflation targeting regime exists, although it does not constitute a change in monetary policy reaction. Second, this conclusion is robust on a subsample excluding the periods of high inflation and early sharp disinflation. Third, the sacrifice ratio of higher output volatility generally attributed to inflation stabilisation policies is not sensitive to the adoption of inflation targeting. Fourth, this framework is shown to be conducive to higher monetary policy leeway.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".