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Record W3121463697

Real and Monetary Shocks to the Canadian Dollar: Do Canada and the U.S Form an Optimal Currency Area?

2001· preprint· en· W3121463697 on OpenAlexaboutno aff
Jack Carr, John E. Floyd

Bibliographic record

VenueRePEc: Research Papers in Economics · 2001
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicMonetary Policy and Economic Impact
Canadian institutionsnot available
Fundersnot available
KeywordsExchange rateMonetary economicsEconomicsCurrencyLiberian dollarVolatility (finance)Interest rate parityFloating exchange rateSterilization (economics)International economicsForeign exchange riskFinancial economicsFinance
DOInot available

Abstract

fetched live from OpenAlex

There is widespread agreement that during the floating exchange rate period from 1970 to the present Canada's nominal and real exchange rates with respect to the United States have shown considerable volatility. It has been suggested that the volatility of the real exchange rate would be substantially reduced if the nominal exchange rate with the U.S.~dollar were fixed, either through a permanent fixed exchange rate mechanism or the adoption of a common North American Currency. In all discussions of the fixed verses floating exchange rate question, it is important to understand why real exchange rates are volatile. The sources of real exchange rate volatility are the focus of our paper. Our findings are that substantial real shocks have occurred and were an important determinant of the real exchange rate. Since our results indicate that the sources of exchange rate volatility are real, not monetary, they are unfavorable to the adoption by Canada of a common currency with the United States.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.194

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.004
Science and technology studies0.0030.003
Scholarly communication0.0060.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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.

Opus teacher head0.060
GPT teacher head0.272
Teacher spread0.211 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2001
Admission routes1
Has abstractyes

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