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Code-sharing in the U.S. airline industry.

机译:美国航空业的代码共享。

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This dissertation consists of two essays that address code-sharing alliances in the U.S. domestic airline industry.;The first essay examines the economic impact of code-sharing using data from the complementary code-sharing agreement between Southwest and ATA Airlines. This code-share agreement is found to decrease air fares and increase passenger volumes for incumbent firms, while increasing both consumer and producer surplus on code-shared routes to and from the Denver airport. In addition, these markets are found to exhibit characteristics of Bertrand competition, as opposed to previous findings of the less competitive Cournot result in international markets and in other domestic U.S. markets.;The second essay employs three alternative econometric models (Generalized Linear Mixed Models (GLIMM), Generalized Estimating Equations (GEE) and Transition Models (TM)) analyze factors that determine whether individual routes remain in or leave a code-share agreement. The code-share alliance between Continental and America West Airlines is used as the case study for this analysis. Empirical results show that routes with higher flight frequencies and higher yields lead to a higher probability of remaining in the code-share agreement. Alliance firms tend to code-share routes where the origin, connecting or destination airport is one of their hub cities or the route is a vacation route. Airport congestion and high route concentration are found to be important barriers that limit use of code-sharing.
机译:本文由两篇文章组成,涉及美国国内航空业的代码共享联盟。;第一篇论文使用西南航空公司与ATA航空公司之间互补的代码共享协议中的数据来研究代码共享的经济影响。人们发现,这项代码共享协议可以降低现有公司的机票价格并增加旅客数量,同时可以增加往返丹佛机场的代码共享航线上的消费者和生产者盈余。此外,发现这些市场表现出Bertrand竞争的特征,这与之前在国际市场和美国其他国内市场中竞争较弱的古诺酒的发现相反;第二篇论文采用了三种替代计量经济学模型(广义线性混合模型( GLIMM),广义估计方程(GEE)和过渡模型(TM)分析因素,这些因素确定单个路由是保留在代码共享协议中还是保留在代码共享协议中。美国大陆航空和美国西部航空公司之间的代码共享联盟被用作此分析的案例研究。实证结果表明,具有较高飞行频率和较高收益的航线导致保留在代码共享协议中的可能性更高。联盟公司倾向于共享航线,其中始发,转机或目的地机场是其枢纽城市之一,或者该路线是度假路线。发现机场拥挤和路线高度集中是限制使用代码共享的重要障碍。

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