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Record W4406928885 · doi:10.1257/mic.20210250

The Inner Workings of a Hub-and-Spoke Cartel in the Automotive Fuel Industry

2025· article· en· W4406928885 on OpenAlex
Daniel Chaves, Marco Antônio Húngaro Duarte

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.

Bibliographic record

VenueAmerican Economic Journal Microeconomics · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMerger and Competition Analysis
Canadian institutionsWestern University
Fundersnot available
KeywordsCartelAutomotive industryIndustrial organizationEconomicsBusinessMicroeconomicsEngineeringCollusion

Abstract

fetched live from OpenAlex

We study the inner workings of a hub-and-spoke cartel in the Brazilian automotive fuel industry. Based on court documents and detailed price and sales data, we discuss how gas station owners (spokes) operating inside the federal capital received help from fuel distributors (hub) to reduce dispersion of and increase gasoline’s retail price. We provide evidence that distributor cartel members benefited by raising wholesale prices while keeping competitors from supplying retail cartel members. We also provide theoretical foundations and empirical evidence for a new mechanism through which hubs help spokes: smoothing cost fluctuations. (JEL K21, L12, L22, L32, L71, L81, O14)

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)0.002
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 score0.532
Threshold uncertainty score0.695

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.009
GPT teacher head0.227
Teacher spread0.218 · 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