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Record W4210574288 · doi:10.1111/opec.12234

Oil prices and Mexico’s exchange rates in North America

2022· article· en· W4210574288 on OpenAlexaboutno aff
Hamid Baghestani, Abdelaziz Chazi, Ashraf Khallaf

Bibliographic record

VenueOPEC Energy Review · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMarket Dynamics and Volatility
Canadian institutionsnot available
Fundersnot available
KeywordsDisequilibriumEconomicsOil priceExchange ratePurchasing powerMonetary economicsMonetary policyPurchasing power parityCentral bankInternational economicsEconomyMacroeconomics

Abstract

fetched live from OpenAlex

Abstract Evidence indicates that since the early 2000s, the central bank in Mexico has been able to implement a solid and credible monetary policy, which has resulted in maintaining the purchasing power of the Mexican peso. Motivated by such evidence and the fact that Mexico (like Canada and the US) is a major oil‐producing country, we set out to examine the dynamic relationship among oil prices and Mexico‐Canada and Mexico‐US exchange rates for 2000–2020. Our findings indicate that (i) these series are co‐integrated and possess a long‐run equilibrium relationship, (ii) oil prices asymmetrically respond to eliminate disequilibrium and (iii) both Mexico‐Canada and Mexico‐US exchange rates are weakly exogenous. Such findings point to the success of the central bank in largely shielding Mexico’s exchange rates from oil price fluctuations in the NAFTA region.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.068
Threshold uncertainty score0.135

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.228
Teacher spread0.204 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2022
Admission routes1
Has abstractyes

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