Assessing the Impact of the Exchange Rate and Its Volatility on Canadian Pork and Live Swine Exports to the United States and Japan
Bibliographic record
Abstract
A model of a representative Canadian pork exporter is developed to examine the impacts of the exchange rate and its volatility on pork and live swine exports. The pork export supply equation is expressed as a function of the expected level of real exchange rate and a time-varying variance of real exchange rate. An AR(p) model is used to represent the expected real exchange rate, and a GARCH(p, q) model is used to generate the time-varying variance. The same model is used to examine the sensitivity of pork exports to Japan from Canada, the United States, and Denmark. The parameters of all pork and live swine export equations have theoretically consistent signs and many are significant. That is, the domestic price in the exporting country has a negative effect on exports because it is a major input price in the exporter's cost function while the price in the market of destination has a positive effect. The level of the exchange rate has a positive impact on pork exports while the volatility of the exchange rate has a negative impact. Most of the volatility parameters are not significant.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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".