Bibliographic record
Abstract
Bank of Canada working papers are theoretical or empirical works-in-progress on subjects in economics and finance. The views expressed in this paper are those of the authors. No responsibility for them should be attributed to the European Central Bank, the Eurosystem, or the Bank of Canada. Acknowledgements The authors thank Menzie Chinn, Linda Goldberg, Chiara Osbat and an anonymous referee for helpful comments and suggestions. Any remaining errors are the responsibility of the authors. This paper aims at showing heterogeneity in the degree of exchange rate pass-through to import prices in major advanced economies at three different levels: 1) across destination markets; 2) across types of exporters (distinguishing developed economy from emerging economy exporters); and 3) over time. Based on monthly data over the period 1991–2007, the results show first that large destination markets exhibit the lowest degrees of pass-through. The degree of passthrough for goods imported from emerging economies is also significantly lower than for those from developed economies. Regarding the evolution over time, no clear change in pricing behaviours can be identified and particular events, like large exchange rates depreciations during the Asian crisis, seem to influence the degree of pass-through related to imports from emerging economies.
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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 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.007 | 0.011 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.491 | 0.309 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".