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Record W3121874355

Do Airline Bankruptcies Reduce Air Service

2003· preprint· en· W3121874355 on OpenAlexaboutno aff
Severin Borenstein, Nancy L. Rose

Bibliographic record

VenueRePEc: Research Papers in Economics · 2003
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicAviation Industry Analysis and Trends
Canadian institutionsnot available
Fundersnot available
KeywordsBankruptcyService (business)BusinessQuarter (Canadian coin)Low-cost carrierOrder (exchange)Air travelFull serviceFinanceDestinationsAviationMarketingCommerceTourismEngineering
DOInot available

Abstract

fetched live from OpenAlex

The airline industry's current financial crisis has raised concerns over the ramifications of airline bankruptcies for air service and the economy.Such bankruptcies, however, nearly always occur when demand is weak, and, thus, when even healthy airlines are inclined to reduce flights.Moreover, from a consumer and policy perspective, the real concern is total air service offered, not the number of flights offered by a particular airline.We study all major U.S. airline bankruptcies since 1984 in order to estimate the effect of bankruptcy on air service, controlling for demand fluctuations and recognizing that competing airlines may increase service in response to a reduction in flights by a bankrupt airline.We do not find substantial effects of bankruptcy on flights offered or destinations served at large and small airports, but do find an impact at medium sized airports.We estimate, however, that service changes due to bankruptcy are not large in comparison to typical quarter-to-quarter fluctuations in service that occur at airports in the absence of carrier bankruptcies.

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)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.002

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 head0.082
GPT teacher head0.321
Teacher spread0.239 · 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 designNot applicable
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

Citations1
Published2003
Admission routes1
Has abstractyes

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