Downward Nominal Wage Rigidity, Inflation and Unemployment: New Evidence Using Micro‐Level Data
Bibliographic record
Abstract
Recent evidence suggests that the extent of downward nominal wage rigidity (DNWR) in the Canadian labour market has risen following the 2008–09 recession (see Brouillette, Kostyshyna and Kyui 2016). This note studies whether DNWR can lead to a long‐run trade‐off between inflation and unemployment, especially at lower rates of inflation—a question that has important implications for the optimal level of inflation in the long run. The results suggest that the trade‐off between unemployment and inflation remains weak despite the estimated increase in DNWR. In particular, the long‐run Phillips curve is close to vertical at inflation rates of 2 per cent or more, in line with earlier findings (Crawford and Wright 2001). As a result, an increase in long‐term inflation from 2 to 3 per cent would lower unemployment by about 0.1–0.2 percentage points. Overall, our results suggest that the benefits of raising the inflation target to attain a lower long‐term unemployment level seem rather weak.
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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 | 0.000 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".