US Commercial airline performance after September 11, 2001: decomposing the effect of the terrorist attack from macroeconomic influences
AbstractThe US airlinesâ€™ revenue passenger miles series are examined to objectively assess the effect of the September 11th terrorist attack on the performance of the industry controlling for the general economic conditions. A Vector Autoregression model (VAR) with revenue passenger mile and real gross domestic product series is utilized. The estimated effect of the attack supports the federal government's appropriation of $5 billion cash compensation to the airlines. Analysis at the individual air carrier level confirms that not all the US major and regional airlines were affected in the same manner. United, Northwest, US Airways, and Delta account for more than 63% of the aggregate decline in the US airline industry performance. Three air carriers: JetBlue, Aloha and Atlantic Southeast were able to significantly improve their performance immediately following the September 11th attack.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Elsevier in its journal Journal of Air Transport Management.
Volume (Year): 10 (2004)
Issue (Month): 5 ()
Contact details of provider:
Web page: http://www.journals.elsevier.com/journal-of-air-transport-management/
US airlines; Vector autoregression model; Terrorist attack; Impact effect;
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Charles, Amelie & Darne, Olivier, 2006. "Large shocks and the September 11th terrorist attacks on international stock markets," Economic Modelling, Elsevier, vol. 23(4), pages 683-698, July.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wendy Shamier).
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.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.