Bibliographic record
Abstract
Abstract: This paper analyzes the relationship between Canadian Monetary Policy and the movements of Canada's real and nominal exchange rates with respect to the U.S. A broad-based theory is developed to form the basis for subsequent empirical analysis. The main empirical result is that the Canadian real exchange rate has been determined in large part by capital movements into and out of Canada as compared to the U.S. and world energy prices. Additional important determinants were world commodity prices and Canadian and U.S. real GDPs and employment rates. No evidence of effects of unanticipated money supply shocks on the nominal and real exchange rates is found. Under conditions where exchange rate overshooting is likely to occur in response to monetary demand or supply shocks, this suggests that the Bank of Canada follows an orderly-markets style of monetary policy and the conclusion is that this is the best approach under normal conditions. Finally, it is shown that in response to a domestic inflation rate that has become permanently too high or a catastrophic situation in the U.S., the Bank of Canada can induce a one-percent short-run change in the unemployment rate by pushing the nominal and real exchange rates in the appropriate direction by between five and six percent.
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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".