The Effects of Various Policy Regimes in the Integration of North American Grain Markets
Bibliographic record
Abstract
This paper examines the integration between U.S. and Canadian grain prices using cointegration and error correction approach. Price relationships are examined in four different subperiods: pre‐NAFTA (January 1986 to December 1993), post‐NAFTA (January 1994 to July 1999), pre‐WGTA (January 1986 to July 1995) and post‐WGTA (August 1995 to July 1999). A free trade agreement implemented in 1989 that later folded into NAFTA affected price integration in the North American grain market, but Canada's elimination of freight subsidies in 1995 strengthened it. Empirical results indicate that longterm relationships exist among the price series. Prices are found to be first‐difference stationary and cointegrated during the four subperiods. However, cointegration analysis shows significant post‐WGTA improvement in market integration, particularly in the speed at which the market adjusts to departures from its long‐run equilibrium.
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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 | 0.003 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".