Is Hysteresis a Characteristic of the Canadian Labour Market? A Tale of Two Studies
Bibliographic record
Abstract
This paper replicates and extends the econometric work of two previous studies of output-inflation dynamics in Canada -- Fortin (1991) and Cozier and Wilkinson (1991) -- in an attempt to reconcile their divergent conclusions. The former paper finds that the Canadian labour market exhibited hysteresis during the 1973-90 period, while the latter paper rejects labour market hysteresis over the period 1964-88. The approach taken in this paper is to estimate alternative specifications of the key equations presented by Cozier and Wilkinson and by Fortin, so as to isolate the main factors contributing to this difference in view. The paper then asks whether this additional information enables one to accept one inference over the other. The authors find that the available evidence against labour market hysteresis in Canada is much more compelling than evidence in favour. The paper concludes with a discussion of outstanding issues that might yet have a bearing on this question.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".