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Record W2034851233 · doi:10.1080/00036840500215683

Exchange rate pass-through in Canadian manufacturing: its direct and indirect components

2005· article· en· W2034851233 on OpenAlexaffabout
Stanley W. Kardasz, Kenneth R. Stollery

Bibliographic record

VenueApplied Economics · 2005
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsEconomicsIndirect effectExchange rateExchange-rate pass-throughDepreciation (economics)TariffInternational economicsMonetary economicsMarginal costIndirect costsCurrencyForeign direct investmentDomestic marketMacroeconomicsInternational tradeMicroeconomics

Abstract

fetched live from OpenAlex

Changes in the exchange rate have direct and indirect effects on the prices of domestically produced goods and imports in the domestic market. The direct effects originate with the impact of the exchange rate on the marginal cost of imports; the indirect effects, with its impact on the price of materials used by domestic producers and hence on their marginal costs. Direct and indirect exchange rate pass-through elasticities are estimated for 37 Canadian manufacturing industries and their determinants are examined in a cross-section analysis. It is found that the direct and indirect elasticities are approximately equal in size for domestic goods, while the direct effect is dominant for imports. For a small number of industries, the net result of the direct and indirect effects is that a depreciation of the domestic currency increases the competitiveness of imports, contrary to conventional analysis. Important determinants of the direct (indirect) elasticities are the import share and non-tariff barriers (the responsiveness of domestic costs to changes in the exchange rate, and concentration).

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.797
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.002

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 head0.059
GPT teacher head0.197
Teacher spread0.138 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations5
Published2005
Admission routes2
Has abstractyes

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