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Is Exchange Rate Pass‐Through in Pork Meat Export Prices Constrained by the Supply of Live Hogs?

2007· article· en· W2126719825 on OpenAlex
Jean‐Philippe Gervais, Naceur Khraief

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

VenueAmerican Journal of Agricultural Economics · 2007
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMonetary Policy and Economic Impact
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsCointegrationEconomicsExchange-rate pass-throughExchange rateProduction (economics)EconometricsEstimatorUnit rootAgricultural economicsDegree (music)Monetary economicsMathematicsMacroeconomicsStatistics

Abstract

fetched live from OpenAlex

Abstract The impact of lags in the production and marketing of agricultural products on the degree of exchange rate pass‐through in export prices is investigated. The predictions of the theoretical model are tested by investigating Canadian pork export prices in the United States and Japan. The empirical methodology accounts for unit root and cointegration using the dynamic seemingly unrelated regression framework and a minimum distance estimator. Predetermined hog supplies have a statistically significant impact on export prices of two out of three Canadian provinces. The degree of misspecification involved with standard pass‐through models that do not account for production lags is also illustrated.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.195
Threshold uncertainty score0.831

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 communication0.0000.001
Open science0.0010.000
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 head0.032
GPT teacher head0.222
Teacher spread0.191 · 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