INFLATION TARGETING AND THE ECONOMY: LESSONS FROM CANADA'S FIRST DECADE
Why this work is in the frame
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Bibliographic record
Abstract
Inflation targeting has become the centerpiece of the monetary policy framework in a number of industrial countries and emerging economies. The first part of this article examines the Canadian experience with inflation targeting since its introduction in early 1991 and various issues that require resolution in establishing such a framework. It also examines the way inflation targets deal with demand, price, and productivity shocks. The second part focuses on Canada's economic performance during the 1990s. Factors other than monetary policy ‐ most notably private sector restructuring and the fiscal situation in the first half of the decade ‐ played an important role in the sluggishness of the recovery from the recession of 1990–91. Trend growth in Canada during the 1990s was lower than in earlier periods and than U.S. trend growth over the same period. The article examines the role of such factors as productivity growth and participation rates in explaining the differences. I conclude that a good monetary policy is necessary but not sufficient for good economic outcomes.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it