Network Structure and Design in the Deregulated U.S. Airline Industry: an Argument for Re-Regulation?
AbstractThis paper develops a model to explain and analyze the evolution of network structure (connectivity)and design (flight frequency, aircraft size, prices) in the post-deregulation U.S. airline industry. We show that legacy carriers choice of Hub-and-Spoke networks and the emergence of low cost carriers (LCCs) operating Point-to-Point networks were optimal choices. We demonstrate that LCCs need not necessarily charge lower prices, and their entry impacted legacy carriers’ prices in all markets, even those where there is no direct competition. We show that in response to entry, legacy carriers optimally lower flight frequency, leading to longer wait times between flights for which passengers are compensated by lower prices; conversely, if the entrant later exits, legacy carriers raise flight frequency and therefore prices, which may erroneously appear to be predatory pricing when in fact it is the consequence of optimal network redesign. Finally, we demonstrate that even though low cost carriers lower prices, total social welfare with competing network structures can also be lowered. In other words, the poor financial performance of legacy carriers is not due to their inefficiency per se but due to an efficient Hub-and-Spoke network undermined by competition from inefficient Point-to-Point networks. We argue that social welfare may have been, and still can be, higher if entry and exit in air passenger travel industry is regulated.
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Bibliographic InfoPaper provided by University of Toronto, Department of Economics in its series Working Papers with number tecipa-325.
Length: 39 pages
Date of creation: 08 Aug 2008
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Networks; Airlines; Regulation;
Find related papers by JEL classification:
- L4 - Industrial Organization - - Antitrust Issues and Policies
- L5 - Industrial Organization - - Regulation and Industrial Policy
- L9 - Industrial Organization - - Industry Studies: Transportation and Utilities
- C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
- M2 - Business Administration and Business Economics; Marketing; Accounting - - Business Economics
This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-08-21 (All new papers)
- NEP-COM-2008-08-21 (Industrial Competition)
- NEP-MIC-2008-08-21 (Microeconomics)
- NEP-NET-2008-08-21 (Network Economics)
- NEP-REG-2008-08-21 (Regulation)
- NEP-URE-2008-08-21 (Urban & Real Estate Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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