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Record W7098248639

an Optimal Currency Area?

2001· article· en· W7098248639 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCell Image Analysis Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsExchange rateCurrencyInterest rate parityVolatility (finance)Floating exchange rateInternational Fisher effectLiberian dollarSterilization (economics)Floating interest rate
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 this paper. Our findings are that substantial asymmetric real shocks have occurred and were an important determinant of the real exchange rate but there is no evidence of real exchange rate effects of monetary shocks. 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. Classification codes: open economy macroeconomics, international monetary arrangements and institutions, financial aspects of economic integration. We would like to thank Angelo Melino, Allan Hynes and two anonymous referees for helpful comments. ii

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.030
Threshold uncertainty score0.101

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0060.006
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0300.003

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 head0.009
GPT teacher head0.288
Teacher spread0.279 · 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 designTheoretical or conceptual
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

Citations0
Published2001
Admission routes1
Has abstractyes

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