Shocks Pass-Through to Prices in U.S. and Canada: Evidence from Oil and Exchange Rate Markets
Bibliographic record
Abstract
This paper investigates the degree of exchange rate and oil prices pass-through to import prices, producer prices, and consumer prices in Canada and United States over the period from 1980 to 2017 using a Structural Vector Auto-Regression (SVAR) model. The results indicate a robust evidence of a positive long-run correlation between exchange rate & oil prices and aggregate price levels. Impulse response function reveals a persistent and incomplete pass-through for both exchange rates and oil prices i.e. 0.20 and 0.04 for Canada and 0.27 and 0.25 for the U.S. That is, greater pass-through exist in an economy which has a more oil import share, more volatile monetary policy, and higher inflation rate. Consistent with impulse response function, variance decomposition reveals that oil price shocks in the United States are the major cause of the variation in the import prices and producer prices, while exchange rate fluctuations explain more of the variation in consumer prices. However, in Canada, import prices are mainly explained by exchange rate fluctuations, while oil price shocks explain the variation in producer and consumer prices.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".