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Record W1487268852 · doi:10.3968/6199

The Analysis About Vertical Differentiation, Cost Structure and the Stability of Collusion

2014· article· en· W1487268852 on OpenAlexvenueno aff
Huishuang He

Bibliographic record

VenueAdvances in natural science/Advances in natural sciences · 2014
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMerger and Competition Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsCollusionCournot competitionCompetition (biology)Bertrand competitionFixed costMicroeconomicsIndustrial organizationBertrand paradox (economics)Cost structureVariable costQuality (philosophy)Stability (learning theory)Market structureEconomicsProduct differentiationCompetition modelOligopolyComputer scienceEcologyProfit (economics)Physics

Abstract

fetched live from OpenAlex

In order to analyze collusion stability in real economy under different cost structure, the fixed cost structure and variable cost structure is assumed under vertical differentiation and different competitive types (Cournot competition and Bertrand competition). By comparing the different competitive equilibrium, firm competes with each other under different cost structure and competitive types, which influences the stability of collusion in different ways. Under fixed cost and changeable cost structure, the high-quality firm is always more difficult to maintain collusion than the low-quality firm in vertical differentiation. With the increase of, the quality difference will get smaller and smaller, the high-quality becomes more and more difficult to maintain collusion. In equilibrium, price competition is fiercer, firms aim to release price competition under Bertrand competition, and so the quality difference will be bigger.

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 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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.351
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.007
Science and technology studies0.0010.005
Scholarly communication0.0000.002
Open science0.0010.000
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 head0.007
GPT teacher head0.254
Teacher spread0.247 · 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 teacher head, not a consensus.

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

Citations0
Published2014
Admission routes1
Has abstractyes

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