Agricultural and Applied Economics
Bibliographic record
Abstract
The law of one price (LOP) plays an important role as a building block in theories of international trade and exchange rate determination. It also serves as a measure of integration for international commodity markets. The LOP states that in competitive markets after adjustment for transportation costs and trade barriers, identical commodities sold in different countries should sell for the same price when their prices are defined in a common currency. The existing economic literature provides a vast body of theoretical and empirical investigations of the validity of the LOP. In general, previous evidence is mixed and there is no unanimous LOP support or refutation. The effects of exchange rate changes on agricultural outputs have been extensively studied, but the issue of the impacts on traded non-farm produced inputs has not been explored as much. This study investigates the impact of the exchange rate ($CN/$US) on the relative prices in U.S. and Canadian agricultural markets for five major farm outputs and four non-farm produced inputs, which are traded between these two closely integrated
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".