The Macroeconomic Effects of the Canada–US Free Trade Agreement on Canada: A Counterfactual Analysis
Bibliographic record
Abstract
Abstract We evaluate the macroeconomic effects of the Canada–US Free Trade Agreement (FTA) on Canada's economy using a counterfactual analysis. We exploit the dependence of GDP growth (labour productivity and unemployment, respectively) among different economic entities and construct the counterfactuals using data from countries other than Canada. We find that in the adjustment period from 1989:Q1 to 1992:Q1, Canada's economy bore the short‐run adjustment costs of the FTA with a decline of the annual real GDP by 2.56 per cent and a decline of the labour productivity by 0.62 per cent. After the adjustment period, the FTA had a positive and permanent effect of 1.86 per cent on Canada's annual real GDP growth and raised the labour productivity from 1992 to 1994 by 2.39 per cent on average. Moreover, the FTA increased Canada's annual unemployment rate by 1.81 per cent in the period 1989–94.
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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 | 0.014 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".