Airline failure and distress prediction: a comparison of quantitative and qualitative models
Sveinn Gudmundsson
Transportation Research Part E: Logistics and Transportation Review, 1999, vol. 35, issue 3, 155-182
Abstract:
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.
Keywords: New-entrant; airlines; Airline; failures; Failure; prediction; Deregulation (search for similar items in EconPapers)
Date: 1999
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Persistent link: https://EconPapers.repec.org/RePEc:eee:transe:v:35:y:1999:i:3:p:155-182
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