Protection for maturing industries: Evidence from Canadian trade patterns and trade policy, 1870–1913
Bibliographic record
Abstract
Abstract As industries mature, experience is accumulated, productivity increases, trade performance improves on domestic and international markets and learning potential dissipates. Using theory‐consistent empirical specifications, I find a strong, robust negative relationship linking tariff rates to trade performance for manufactured products that matured during the first decade after Canada prioritized protectionist policy objectives in 1879. This relationship also holds at a more aggregate industry level, where I can use other measures of maturity, control for import penetration, use historically contemporaneous trade elasticity estimates, link trade performance to trade restrictiveness and effective rates of protection and where I can instrument for import penetration and trade performance using a two‐stage IV–GMM estimation approach. The results suggest that after 1890 the Canadian government carefully cut tariffs on products produced by maturing Canadian producers and this retreat from protectionism significantly lowered the static deadweight losses resulting from Canadian trade policy during the post‐1890 period.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.011 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".