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Record W2907516085

Oil prices, the terms of trade and private consumption

2018· article· en· W2907516085 on OpenAlexaboutno aff
Nikola Bokan, Maarten Dossche, Luca Rossi

Bibliographic record

VenueEconomic Bulletin Boxes · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMarket Dynamics and Volatility
Canadian institutionsnot available
Fundersnot available
KeywordsEconomicsPurchasing powerConsumption (sociology)Agricultural economicsProduction (economics)Heating oilPurchasingPrivate consumptionOil consumptionMonetary economicsMicroeconomicsMacroeconomicsOperations management
DOInot available

Abstract

fetched live from OpenAlex

Oil prices affect private consumption through direct and indirect channels. An increase in oil prices affects households' purchasing power directly through higher prices for oil-based energy products (e.g. petrol, heating oil). In the euro area about one-third of the economy's total oil use is in the form of final consumption, i.e. the use by consumers of such products. The other two-thirds comes from oil being used in the production of non-energy goods. A rise in oil prices implies an increase in the production costs of these sectors. If these costs cannot be passed on to the final prices of these goods, there will be an indirect impact on households' purchasing power, since either wages or profits received from these sectors will be lower. Moreover, for advanced economies that produce oil (e.g. Canada, Norway, the United Kingdom and the United States) the indirect effects through wages and profits from the oil-producing sector are even more important. JEL Classification: E01, E21

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)0.003
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 score0.023
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0000.001
Scholarly communication0.0030.002
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0230.002

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 head0.018
GPT teacher head0.210
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 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

Citations2
Published2018
Admission routes1
Has abstractyes

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