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A Dynamic Oligopoly Game of the US Airline Industry: Estimation and Policy Experiments Author info | Abstract | Publisher info | Download info | Related research | Statistics Victor Aguirregabiria
Chun-Yu Ho
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This paper studies the contribution of demand, costs, and strategic factors to the adoption of hub-and-spoke networks in the US airline industry. Our results are based on the estimation of a dynamic oligopoly game of network competition that incorporates three groups of factors which may explain the adoption of hub-and-spoke networks: (1) travelers value the services associated with the scale of operation of an airline in the hub airport (e.g., more convenient check-in and landing facilities); (2) operating costs and entry costs in a route may decline with an airline's scale operation in origin and destination airports (e.g., economies of scale and scope); and (3) a hub-and-spoke network may be an effective strategy to deter the entry of other carriers. We estimate the model using data from the Airline Origin and Destination Survey with information on quantities, prices, and entry and exit decisions for every airline company in the routes between the 55 largest US cities. As a methodological contribution, we propose and apply a simple method to deal with the problem of multiple equilibria when using the estimated model to predict the effects of changes in structural parameters. We find that the most important factor to explain the adoption of hub-and-spoke networks is that the cost of entry in a route declines very importantly with the scale of operation of the airline in the airports of the route. For some of the larger carriers, strategic entry deterrence is the second most important factor to explain hub-and-spoke networks.
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Paper provided by University of Toronto, Department of Economics in its series Working Papers with number
tecipa-337.
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Length: 49 pages
Date of creation: 29 Sep 2008Date of revision:
Handle: RePEc:tor:tecipa:tecipa-337Contact details of provider: Postal: 150 St. George Street, Toronto, Ontario Phone: (416) 978-5283 Fax: (416) 978-6713
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Keywords: Airline industry ; Hub-and-spoke networks ; Entry costs ; Industry dynamics ; Estimation of dynamic games ; Counterfactuals with multiple equilibria ; Other versions of this item:
Find related papers by JEL classification: C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - General C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models C63 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Computational Techniques C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games L10 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - General L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets L93 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Air Transportation
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Aguirregabiria, Victor, 2009.
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Michaela Draganska & Sanjog Misra & Victor Aguirregabiria & Pat Bajari & Liran Einav & Paul Ellickson & Dan Horsky & Sridhar Narayanan & Yesim Orhun & Peter Reiss & Katja Seim & Vishal Singh & Raphael, 2008.
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