An investigation into the determinants of flight cancellations

Economica

Volumn 73, Issue 292, 2006, Pages 749-783

  Rupp, Nicholas G ^a   Holmes, George M ^b  

^a EAST CAROLINA UNIVERSITY   (United States)

^b UNIVERSITY OF NORTH CAROLINA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AIR TRANSPORTATION; ECONOMIC ANALYSIS; FACTOR ANALYSIS;

NORTH AMERICA; UNITED STATES;

EID: 33749615266     PISSN: 00130427     EISSN: 14680335     Source Type: Journal    
DOI: 10.1111/j.1468-0335.2006.00509.x     Document Type: Article

References (32)

1. Air Transport Association (2001). Annual Report 2001. Washington, DC: ATA.
2. Boguslaski, C., Ito, H. and Lee, D. (2004). Entry patterns in the Southwest Airlines route system. Review of Industrial Organization, 25, 317-50.
3. Borenstein, S. and Netz, J. (1999). Why do all the flights leave at 8 am? Competition and departure-time differentiation in airline markets. International Journal of Industrial Organization, 17, 611-40.
4. Brueckner, J. K. (2002). Airport congestion when carriers have market power. American Economic Review, 92, 1357-75.
5. Carey, S. (2000). Analysts trim profit estimates for UAL amid worries about flight cancellations. Wall Street Journal, 14 August, A4.
6. Carey, S. and McCartney, S. (2001). Airline workers look to Congress for aid: Employees decry the use of Force Majeure clause, after huge bailout plan. Wall Street Journal, 26 September, A3.
7. Dahl, J. (1991). Flight cancellations are a rising problem for travellers. Wall Street Journal, 15 February, B1.
8. Davidson, R. and MacKinnon, J. G. (1993). Estimation and Inference in Econometrics. New York: Oxford University Press.
9. Ellig, J. and Kelly, K. (2002). Competition and quality in deregulated industries: Lessons for the education debate. Texas Review of Law & Politics, 6, 335-97.
10. Foreman, S. E. and Shea, D. G. (1999). Publication of information and market response: The case of airlines on time performance reports. Review of Industrial Organization, 14, 147-62.
11. Härdle, W., Horowitz, J. and Kreiss, J. (2002). Bootstrap Methods for Time Series. Working Paper CASE (Centre for Applied Statistics and Economics), Humboldt-Universität zu Berlin, Germany.
12. Heller, J. E. (2000). Airline campaigns to improve service are found lacking. Wall Street Journal, 28 June, A1.
13. Hoxby, C. (2000). Does competition among public schools benefit students and taxpayers? American Economic Review, 90, 1209-38.
14. Kranton, R. E. (2003). Competition and the incentive to produce high quality. Economica, 70, 385-404.
15. Kessler, D. P. and McClellan, M. (2000). Is hospital competition socially wasteful? Quarterly Journal of Economics, 115, 577-615.
16. Lee, D. and Ito, H. (2005). Assessing the impact of September 11th terrorist attacks on US airline demand. Journal of Economics and Business, 57, 75-95.
17. Mayer, C. and Sinai, T. (2003a). Network effects, congestion externalities, and air traffic delays: Or, Why all delays are not evil. American Economic Review, 93, 1194-215.
18. Mayer, C. and Sinai, T. (2003b). Why Do Airline Schedules Systematically Underestimate Travel Time? Working Paper, Warton School of Business, Philadelphia.
19. Mazzeo, M. J. (2003). Competition and service quality in the US airline industry. Review of Industrial Organization, 22, 275-96.
20. Morrison, S. and Winston, C. (1995). The Evolution of the Airline Industry. Washington, DC: Brookings Institution.
21. Morrison, S. and Winston, C. and Morrison, S. and Winston, C. (2000). Deregulation of Network Industries: What's Next? Ed. S. Peltzman and C. Winston, Washington, DC: AEI-Brookings Joint Center for Regulatory Studies.
22. Oh, J. and Wiggins, S. N. (2001). Fringe Entry, Price, and Quality: Southwest Airlines and Competition in the Airline Industry. Working Paper, Texas A&M University Department of Economics.
23. Oum, T. H., Park, J. and Zhang, A. (2000). Globalization and Strategic Alliances: The Case of the Airline Industry. Amsterdam: Pergamon.
24. Rupp, N. G. (2005). Flight Delays and Cancellations. Working Paper, East Carolina University Department of Economics.
25. Rupp, N. G., Holmes, G. M. and DeSimone, J. (2005). Airline schedule recovery after airport closures: Empirical evidence since September 11th. Southern Economic Journal, 71, 800-20.
26. Suzuki, Y. (2000). The relationship between on time performance and airline market share. Transportation Research, Part E: Logistics and Transportation Review, 36, 139-54.
27. Thengvall, B. G., Bard, J. F. and Yu, G. (2000). Balancing user preferences for aircraft schedule recovery during irregular operations. IIE Transactions, 32, 181-93.
28. Thengvall, B. G., Bard, J. F. and Yu, G., Yu, G. and Bard, J. F. (2001). Multiple fleet aircraft schedule recovery following hub closures. Transportation Research, Part A: Policy and Practice, 35, 289-308.
29. US Department of Transportation Office of Aviation Enforcement and Proceedings. (2001 and 2003). Air Travel Consumer Report (January 2001, February 2001, March 2003). Washington, DC: US Government Printing Office.
30. Vuong, Q. H. (1989). Likelihood ratio tests for model selection and non-nested hypotheses. Econometrica, 57, 307-33.
31. Windle, R. and Dresner, M. (1999). Competitive responses to low cost carrier entry. Transportation Research, Part E, Logistics and Transportation Review, 35, 59-75.
32. Yan, S. and Yang, D. (1996). A decision support framework for handling schedule perturbations. Transportation Research, Part B: Methodology, 30, 405-19.