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Record W3212684700 · doi:10.15173/esr.v25i1.4621

Which has Higher Real Effects on an US Unincorporated Territory, The Price of Crude Oil or the Monetary Policy?

2021· article· en· W3212684700 on OpenAlexvenueno aff
Carlos Armando Rodríguez, Braulio Quintero

Bibliographic record

VenueEnergy Studies Review · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMarket Dynamics and Volatility
Canadian institutionsnot available
Fundersnot available
KeywordsEconomicsCrude oilMonetary policyMonetary economicsOil priceAgricultural economicsPetroleum engineeringEngineering

Abstract

fetched live from OpenAlex

Puerto Rico is an unincorporated territory of the United States of America. As part of the political-economic arrangement between both political entities, Puerto Rico does not control the local price of oil because it does not have domestic sources of oil, and it does not control its monetary policy, as that is a right reserved by the U.S. Federal Reserve System. This paper investigates the impacts of exogenous shocks of oil price and monetary policy on the Economic Activity Index, Puerto Rico Consumer Price Index, total non-farm employment, electricity consumption, gasoline consumption, and cement sales. Impulse response functions are used to study the oil price and monetary policy shocks. The oil price shock had a more significant effect on gasoline consumption than on electricity consumption. Monetary policy shocks had a higher magnitude on electricity consumption than on gasoline consumption. The monetary policy and oil price shock had minimal effect on the aggregated endogenous variables, Economic Activity Index, and Puerto Rico Consumer Price Index. This study suggests that individuals in Puerto Rico are vulnerable to a volatile oil market. Also, both exogenous variable shocks had minimal impact on employment. As for future steps, it would be prudent to investigate the effect of both exogenous variables on individual employment sectors, not aggregated. Besides, the government of Puerto Rico should develop policies to minimize the effect of oil price shocks.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.022

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 studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.001

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 head0.055
GPT teacher head0.277
Teacher spread0.223 · 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
Published2021
Admission routes1
Has abstractyes

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