Market integration and convergence to the law of one price in the North American onion markets
Bibliographic record
Abstract
Abstract The North American agricultural markets have become much more integrated; but the level of integration varies across sectors and over time. Differential tariff phasing‐out periods and remaining trade disputes are two of many factors contributing to this. This article applies panel data unit root tests to study price convergence and market integration in the North American onion markets. Commodity and variety monthly base price data for the period of 1998 to 2006 are used. Empirical results decisively suggest the existence of price convergence across markets as well as onion varieties. A two‐sample period analysis shows an increase in the speed of price convergence over time, suggesting deeper market integration as NAFTA was fully implemented. Further analysis based on a two‐country‐market basis found that U.S.–Canadian markets have experienced deeper market integration compared with U.S.–Mexican markets as well as Canadian–Mexican markets. [EconLit citations: F150, Q170]. © 2008 Wiley Periodicals, Inc.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 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".