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Record W2147625786 · doi:10.5547/01956574.35.3.3

Daily Price Cycles and Constant Margins: Recent Events in Canadian Gasoline Retailing

2013· article· en· W2147625786 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Energy Journal · 2013
Typearticle
Languageen
FieldEnergy
TopicEnergy, Environment, and Transportation Policies
Canadian institutionsUniversity of AlbertaMount Royal University
Fundersnot available
KeywordsVolatility (finance)EconomicsGasolineEconometricsRefineryMonetary economicsMicroeconomicsEnvironmental science

Abstract

fetched live from OpenAlex

Retail gasoline pricing in Canada has typically followed certain distinct patterns, ranging from long durations of price rigidity relative to wholesale prices to daily price cycles. This paper examines recent changes to pricing patterns in Canadian cities resulting in new equilibrium behavior, and discusses possible reasons for these changes. Using high frequency retail price data obtained from GasBuddy.com, it is demonstrated that volatility changes exhibited in Toronto appear to correspond to an increased frequency of the price cycle, and replacement of the cycle with fixed retail margins. While multiple factors may have contributed to the first pricing change, the second change corresponds closely to a refinery fire in southern Ontario; this temporary event (in conjunction with a rail strike and refinery maintenance) could have triggered a permanent change in equilibrium behavior. This paper also illustrates problems for academic researchers and policymakers when using low frequency price data to analyze pricing in a market characterized by a price cycle.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.400
Threshold uncertainty score0.810

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.010
GPT teacher head0.213
Teacher spread0.202 · 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