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Record W2036208087 · doi:10.1111/0002-9092.00289

Price Discrimination and Pricing to Market Behavior of Canadian Canola Exporters

2001· article· en· W2036208087 on OpenAlexaffabout
Jennifer Brown

Bibliographic record

VenueAmerican Journal of Agricultural Economics · 2001
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsUniversity of GuelphUniversity of Manitoba
Fundersnot available
KeywordsCanolaExchange rateCurrencyEconomicsPrice discriminationMonetary economicsLocal currencyRelative priceInternational economicsBusinessMicroeconomics

Abstract

fetched live from OpenAlex

Abstract The role of exchange rate fluctuation on the pricing behavior of Canadian canola exporters to Japan, Mexico, and the U.S. is examined using a model identifying noncompetitive and exchange rate related pricing behavior. Price discrimination was identified for Canadian canola exports to the three destinations over the period of 1993'99. Results also suggest that Pricing to Market strategies were employed for Japanese imports. Canadian canola exporters used local currency price stabilization to dampen the effects of relative price changes in the Japanese currency, perhaps linked to the large size of Japanese imports relative to Mexico and the U.S.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
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 head0.024
GPT teacher head0.191
Teacher spread0.166 · 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.

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

Citations9
Published2001
Admission routes2
Has abstractyes

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