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Record W3122440612

Business Value and Risk in the Presence of Price Controls: An Option-Based Analysis of Margin Squeeze Rules in the Telecommunications Industry

2008· article· en· W3122440612 on OpenAlexaff
Philipp N. Baecker, Gunnar Grass, Ulrich Hommel

Bibliographic record

VenueSSRN Electronic Journal · 2008
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMerger and Competition Analysis
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsMargin (machine learning)DuopolyCompetitor analysisContext (archaeology)Order (exchange)Price discriminationFlexibility (engineering)Industrial organizationCompetition (biology)MicroeconomicsValue (mathematics)BusinessLimit priceEconomicsGermanMarket powerPrice levelMonetary economicsCournot competitionMarketingMonopolyComputer science
DOInot available

Abstract

fetched live from OpenAlex

Pricing rules specific to the German telecommunications market limit the incumbents flexibility, providing a competitive advantage to all other market participants. More specifically, the incumbent is required not to offer products to its end customers at prices below a predetermined level in order to prevent margin squeezes. In contrast, competitors can freely choose their pricing strategy. In this paper, we propose the imposition of equivalent price barriers on all market participants in order to avoid price margin squeezes and reduce regulatory discrimination at the same time. We tailor a duopoly model to the German context, integrating the regulation of access pricing and price margin squeezes. Under standard parameter assumptions, we demonstrate that no economically significant effects on the value of market participants are observed for the case of market wide price regulation. We conclude that adjusting the current regulatory framework can enhance competition and increase welfare.

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)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.239
Threshold uncertainty score0.455

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
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 head0.020
GPT teacher head0.236
Teacher spread0.216 · 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.

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

Citations0
Published2008
Admission routes1
Has abstractyes

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