A Joint Test Of Pricing-To-Market, Menu Cost And Currency Invoicing
Bibliographic record
Abstract
This paper investigates PTM behaviour and currency invoicing decisions of Canadian pork exporters in the presence of menu costs. It is shown that when export prices are negotiated in the exporter's currency, menu costs cause threshold effects in the sense that there are bounds within (outside of) which PTM is not (is) observed. Conversely, PTM is not interrupted by menu costs when export prices are denominated in the importer's currency. The empirical model focuses on pork meat exports from Canada to the U.S. and Japan. Hansen's (2000) threshold estimation procedure is used to jointly test for currency invoicing and PTM in the presence of menu costs. Inference is conducted using bootstrap methods. PTM effects are smaller when accounting for currency invoicing decisions and menu costs than under standard linear models. The data does not reject the null hypothesis that Quebec pork exporters exercise PTM behaviour in the Japanese market and invoice their sales in Japanese currency. Evidence of PTM behaviour and foreign currency invoicing is weak for the U.S. market. Ontario pork exporters do not exercise PTM behaviour in any market.
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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 | 0.010 | 0.086 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".