Welfare impacts of the 1996 United States - Canada Softwood Lumber (trade) Agreement
Bibliographic record
Abstract
This paper investigates welfare impacts of the 1996 United States Canada Softwood Lumber (trade) Agreement (SLA), which set up a tariff-regulated quota system to restrict softwood lumber export from Canada to the United States. An aggregate price model is used to estimate the price impact of the SLA, and the implied quantity and welfare effects are examined. The results show that while the anticipated change in lumber price is about $59 in 1997 U.S. dollars or 16%, on average, for the first 4 years under the SLA, the gains to U.S. producers of softwood lumber are large and the losses to U.S. consumers are much larger. In addition, Canadian producers have benefitted from the SLA in the U.S. market, and the Canadian government has collected a small amount of additional export fees. As the overall efficiency costs of the SLA are modest, the SLA can be seen as an effective means of welfare transfer from U.S. consumers to the U.S. and Canadian producers. These results should provide a framework for ongoing trade policy debate.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".