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Record W2096224028 · doi:10.22004/ag.econ.18624

ASSESSING THE IMPACT OF THE EXCHANGE RATE AND ITS VOLATILITY ON CANADIAN PORK AND LIVE SWINE EXPORTS TO THE UNITED STATES AND JAPAN

2002· article· en· W2096224028 on OpenAlexaboutno aff
Jacinto F. Fabiosa

Bibliographic record

VenueAgEcon Search (University of Minnesota, USA) · 2002
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMarket Dynamics and Volatility
Canadian institutionsnot available
Fundersnot available
KeywordsExchange rateVolatility (finance)EconomicsAutoregressive conditional heteroskedasticityMonetary economicsEconometricsVariance (accounting)International economics

Abstract

fetched live from OpenAlex

A model of a representative Canadian pork exporter is developed to examine the impacts of the exchange rate and its volatility on pork and live swine exports. The pork export supply equation is expressed as a function of the expected level of real exchange rate and a time-varying variance of real exchange rate. An AR(p) model is used to represent the expected real exchange rate, and a GARCH(p, q) model is used to generate the time-varying variance. The same model is used to examine the sensitivity of pork exports to Japan from Canada, the United States, and Denmark. The parameters of all pork and live swine export equations have theoretically consistent signs and many are significant. That is, the domestic price in the exporting country has a negative effect on exports because it is a major input price in the exporter's cost function while the price in the market of destination has a positive effect. The level of the exchange rate has a positive impact on pork exports while the volatility of the exchange rate has a negative impact. Most of the volatility parameters are not significant.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.168
Threshold uncertainty score0.937

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)0.0010.000

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 head0.051
GPT teacher head0.243
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

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

Citations11
Published2002
Admission routes1
Has abstractyes

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