This article examines the degree of persistence and breaks in the US airline industry. We use innovative seasonal and non-seasonal fractional integration and autoregressive models, which are more flexible than the standard approaches employed in the literature. Our model focuses on three important series namely revenue passenger mile, total revenue tonne miles and revenue passenger enplanement, disaggregated into domestic and international. We found first that all series are highly persistent with values for the degree of differentiation equal to or higher than 1 in the majority of the cases, especially with the international data. Moreover, a structural break is clearly identified in September 2001. Policy implications are then derived.
The US airline industry: persistence and breaks
Transportmetrica A: Transport Science ; 9 , 8 ; 742-752
2013-09-01
11 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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