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Record W1494631708 · doi:10.1016/s1569-3767(06)07014-2

Multinationals and Exchange Rate Pass-Through

2006· book-chapter· en· W1494631708 on OpenAlex
Alexandra Lai, Oana Secrieru

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational finance review · 2006
Typebook-chapter
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Taxation and Avoidance
Canadian institutionsBank of Canada
Fundersnot available
KeywordsMultinational corporationExchange-rate pass-throughExchange rateCournot competitionCompetition (biology)Production (economics)BusinessInternational economicsDomestic marketInternational tradeSensitivity (control systems)Monetary economicsEconomicsMicroeconomics

Abstract

fetched live from OpenAlex

We examine the impact of multinational firms (MNEs) on exchange rate pass-through when an MNE engages in Cournot competition with domestic and foreign rivals. The MNE can locate its production for the foreign market domestically — intra-firm trade (IT) — or in the foreign country — international production (IP). In addition to incomplete exchange rate pass-through, we show that an MNE increases the sensitivity of domestic market prices and reduces the sensitivity of foreign market prices to exchange rate movements. Finally, IT prices are more sensitive to exchange rate movements than their IP counterparts and react in the opposite direction.

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.

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)0.000
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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.531
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.035
GPT teacher head0.257
Teacher spread0.223 · 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