Exchange Rate Pass-through and Monetary Policy: How Strong is the Link?
Bibliographic record
Abstract
Several authors have presented reduced-form evidence suggesting that the degree of exchange rate pass-through to the consumer price index has declined in Canada since the early 1980s and is currently close to zero. Taylor (2000) suggests that this phenomenon, which has been observed for several other countries, may be due to a change in the behaviour of inflation. Specifically, moving from a high to a low-inflation environment has reduced the expected persistence of cost changes and, by consequence, the degree of pass-through to prices. This paper extends his argument, suggesting that this change in persistence is due to a change in the parameters of the central bank's policy rule. Evidence is presented for Canada indicating that policy has responded more aggressively to inflation deviations over the low pass-through period relative to the high pass-through period. We test the quantitative importance of this change in policy for exchange rate pass-through by varying the parameters of a simple monetary policy rule embedded in an open economy, dynamic stochastic general equilibrium model. Results suggest that increases in the aggressiveness of policy consistent with that observed for Canada are sufficient to effectively eliminate measured pass-through. However, this conclusion depends critically on the inclusion of price-mark-up shocks in the model. When these are excluded, a more modest decline to pass-through is predicted.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".