IDEAS home Printed from https://ideas.repec.org/a/eee/transe/v35y1999i3p155-182.html
   My bibliography  Save this article

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

Author

Listed:
  • Vidar Gudmundsson, Sveinn

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.

Suggested Citation

  • Vidar Gudmundsson, Sveinn, 1999. "Airline failure and distress prediction: a comparison of quantitative and qualitative models," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 35(3), pages 155-182, September.
    • Handle: RePEc:eee:transe:v:35:y:1999:i:3:p:155-182
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1366554599000046
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tsai, Dungchun & Chang, Shaochi & Chen, WeiWei & Tran, Chau-lan, 2008. "The market valuation of new route announcements," Journal of Air Transport Management, Elsevier, vol. 14(5), pages 252-256.
    2. Atanas Delev, 2016. "Issues and Challenges for Bankruptcy Risk Assessment in Bulgarian Companies," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 3, pages 118-136.
    3. Hashem Salarzadeh Jenatabadi & Peyman Babashamsi & Datis Khajeheian & Nader Seyyed Amiri, 2016. "Airline Sustainability Modeling: A New Framework with Application of Bayesian Structural Equation Modeling," Sustainability, MDPI, vol. 8(11), pages 1-17, November.
    4. Catherine Refait, 2004. "La prévision de la faillite fondée sur l’analyse financière de l’entreprise : un état des lieux," Économie et Prévision, Programme National Persée, vol. 162(1), pages 129-147.
    5. Chen, Kee-Kuo & Ho, Hui-Ping & Chang, Ching-Ter, 2015. "Estimating attributes importance for container shipping industry by closing the listening gap with maximum convergent validity," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 79(C), pages 145-163.
    6. Kim, Soo Y. & Upneja, Arun, 2014. "Predicting restaurant financial distress using decision tree and AdaBoosted decision tree models," Economic Modelling, Elsevier, vol. 36(C), pages 354-362.
    7. Catherine Refait-Alexandre, 2004. "A Review of Business Failure Prediction Based on Financial Analysis of the Firm [La prévision de la faillite fondée sur l'analyse financière de l'entreprise : un état des lieux]," Post-Print hal-01391654, HAL.
    8. Pouget, Lilian & Ribeiro, Nuno Antunes & Odoni, Amedeo R. & Antunes, António Pais, 2023. "How do airlines react to slot displacements? Evidence from a major airport," Journal of Air Transport Management, Elsevier, vol. 106(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transe:v:35:y:1999:i:3:p:155-182. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600244/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.