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Record W2015584065 · doi:10.1111/1540-5982.00120

Retail price cycles and response asymmetry

2002· article· fr· W2015584065 on OpenAlexaffvenueabout
Andrew Eckert

Bibliographic record

VenueCanadian Journal of Economics/Revue canadienne d économique · 2002
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicMerger and Competition Analysis
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsEconomicsAsymmetryCompetition (biology)WindsorMonetary economicsMicroeconomicsEconometrics

Abstract

fetched live from OpenAlex

Weekly retail gasoline prices in Windsor, Ontario, from 1989 to 1994 appear to respond faster to wholesale price increases than to decreases, but exhibit a cyclic pattern inconsistent with a common explanation of response asymmetry. I reconcile these observations through a model of price cycles. Prices on the downward portion of the cycle appear insensitive to costs, compared with price increases, supporting the theory that price decreases result from battles over market share. This pattern resembles a faster response to cost increases than to decreases, and the conclusion that asymmetry indicates a role for competition policy may be inappropriate. JEL Classification: L13, L71 Cycles des prix de détail et réponse asymétrique. Les prix de détail hebdomadaires de la gazoline à Windsor (Ont.) entre 1989 et 1994 semblent réagir plus vite aux accroissements qu’aux chutes des prix de gros, mais suivent un pattern cyclique qui ne semble pas consistant avec l’explication traditionnelle en termes de réponse asymétrique. L’auteur réconcilie ces observations à l’aide d’un modèle de cycle de prix. Les prix dans la portion descendante du cycle semblent insensibles aux variations de coûts, par comparaison avec les accroissements de prix, ce qui supporte la théorie que les chutes de prix résultent de luttes pour les parts de marché. Le pattern ressemble à celui déclenché par une réponse plus rapide aux augmentations qu’aux chutes de coûts, et la conclusion qui voudrait qu’on puisse attribuer le tout à l’asymétrie des réponses (et que donc une intervention de la politique de la concurrence s’impose) peut être inappropriée.

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)0.001
metaresearch head score (Gemma)0.011
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 score0.032
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.011
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 science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0090.001

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 head0.130
GPT teacher head0.174
Teacher spread0.044 · 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

Citations9
Published2002
Admission routes3
Has abstractyes

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