Airline failure and distress prediction: a comparison of quantitative and qualitative models

In this paper, an exploratory study of failure and distress prediction models is presented based on a qualitative survey among new-entrant airline managers and a quantitative data source containing financial and traffic data of new-entrant airlines. Using logistic regression, it became evident that...

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Bibliographic Details
Published in:Transportation research. Part E, Logistics and transportation review Logistics and transportation review, 1999-09, Vol.35 (3), p.155-182
Main Author: Vidar Gudmundsson, Sveinn
Format: Article
Language:English
Subjects:
Airline failures
Airline industry
Airlines
Business failures
Comparative analysis
Deregulation
Failure prediction
Manycompanies
New-entrant airlines
New-entrant airlines Airline failures Failure prediction Deregulation
Predictions
Regression analysis
Startups
Studies
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Summary:In this paper, an exploratory study of failure and distress prediction models is presented based on a qualitative survey among new-entrant airline managers and a quantitative data source containing financial and traffic data of new-entrant airlines. Using logistic regression, it became evident that qualitative variables are a viable source for model construction. They contribute to a deeper understanding of the underlying distress and failure process. A number of significant predictor variables are discussed in the context of managing new-entrant airlines.
ISSN:1366-5545
1878-5794
DOI:10.1016/S1366-5545(99)00004-6