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The Law of One Price: A Canada/U.S. exploration

2004· article· en· W2143530230 on OpenAlex
John R. Baldwin, Beiling Yan

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueReview of Income and Wealth · 2004
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMonetary Policy and Economic Impact
Canadian institutionsStatistics Canada
Fundersnot available
KeywordsEconomicsLaw of one priceExchange rateArbitrageCommodityCurrencyMonetary economicsMarket integrationLiberalizationPrice levelInternational economicsMid priceMacroeconomicsFinancial economicsMarket economy

Abstract

fetched live from OpenAlex

The paper examines whether arbitrage tends to equalize commodity prices for internationally traded homogenous products. It also investigates whether the increasing integration of North American markets has reduced price differences over time, and tests the validity of the so‐called Law of One Price. We find that price differences for homogenous tradables between Canada and the U.S. are smaller than those for differentiated tradables and non‐tradables, and are statistically insignificant over the period 1985 to 1999. We find no support for the notion that the increasing integration of North American markets due to trade liberalization has reduced price differences between Canada and the United States. Instead, the shifts in the price differences (expressed in the same currency) generally reflected fluctuations in the exchange rate. Canadian prices adapt with a lag to U.S. price changes that are brought about by changes in the exchange rate.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.711
Threshold uncertainty score0.970

Codex and Gemma teacher scores by category

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

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 head0.056
GPT teacher head0.244
Teacher spread0.188 · 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