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Record W328099773 · doi:10.15173/esr.v21i1.2530

PRICE CONVERGENCE AND INTEGRATION IN THE GERMANY, FRANCE AND ITALY ELECTRICITY MARKETS

2015· article· en· W328099773 on OpenAlex
Lanouar Charfeddine, Rafik Jbir, JIHENE KARBOUL

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEnergy Studies Review · 2015
Typearticle
Languageen
FieldEngineering
TopicElectric Power System Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsCointegrationConvergence (economics)EconomicsElectricityMarket integrationElectricity marketEconometricsEmpirical evidenceElectricity priceMacroeconomicsEconomyFinancial economicsEngineering

Abstract

fetched live from OpenAlex

This paper examines empirically the electricity market integration process for Germany, France and Italy countries by investigating possible price convergence. Two empirical approaches have been considered to investigate this issue : cointegration analysis and state space model with time varying coefficients during the period 06 July 2009 to 15 April 2011.Using both methods, empirical results show that the Germany and France markets are highly integrated. For the Germany and Italy, and France and Italy pairs no price convergence has been detected when the cointegration analysis is employed and when using the time varying coefficients model, empiricl results show evidence for weak convergence.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.709
Threshold uncertainty score0.300

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)0.0000.000

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 head0.018
GPT teacher head0.249
Teacher spread0.231 · 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