The Impacts of Minimum Wage Increases on the Canadian Economy
Bibliographic record
Abstract
This note reviews the channels through which scheduled minimum wage increases over the coming years may affect Canadian economic activity and inflation and assesses their macroeconomic impacts. From reduced-form estimates of direct minimum wage pass-through, we find that consumer price index (CPI) inflation could be boosted by about 0.1 percentage point (pp) on average in 2018. A structural general equilibrium simulation suggests that minimum wage increases would reduce the level of gross domestic product by roughly 0.1 per cent by early 2019 and boost CPI inflation by about 0.1 pp. While the net impact on labour income would be positive, employment would fall by 60,000—a number that lies in the lower part of a range obtained from an accounting exercise (30,000 to 140,000). Consumption would decline because higher inflation would elicit a slight interest rate increase, which would more than offset the higher labour income. Potential output should remain unchanged in the short run. Longer-term effects are possible through automation, productivity gains or participation in the labour force, but the signs of these longer-term effects are ambiguous.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".