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Record W7100818694

Vertical Trade, Asymmetric Exchange Rate Pass-Through, and Canada’s Exchange Rate Regime

2011· article· en· W7100818694 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNuclear Structure and Function
Canadian institutionsnot available
Fundersnot available
KeywordsLiberian dollarExchange rateCurrencyExchange-rate regimeReserve currencyForeign exchange riskBalance of tradeDevaluationInterest rate parity
DOInot available

Abstract

fetched live from OpenAlex

The recent sharp appreciation of the Canadian dollar vs. the US dollar poses difficulties for the Canadian economy and reignites the debate as to whether Canada should fix the Canadian dollar to the US dollar by implementing a unilateral peg or forming a monetary union. We compare the welfare of different combinations of monetary and currency policies in an open-economy macroeconomic model that incorporates two unique features of the Canadian economy: the high level of vertical trade with the US and the prevalent use of the US dollar as the invoicing currency for both imports and exports. This comparison generates two insights about the exchange rate regime of Canada. First, the vertical trade makes it more difficult for a flexible exchange rate to balance the Canadian economy by adjusting relative prices. The higher degree of economic integration resulting from the vertical production and trade favors a fixed exchange rate regime or a single currency. Second, because Canadian firms often use the US dollar as the invoicing currency for both imports and exports, they undertake most of the currency risk. Relative to other countries with a flexible exchange rate regime, in particular the US, Canada is more exposed to currency fluctuations, which leads to a higher cost of a flexible exchange rate regime in Canada.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.221
Threshold uncertainty score0.445

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0040.001
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 head0.016
GPT teacher head0.207
Teacher spread0.190 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

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