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Network Effects, Congestion Externalities, and Air Traffic Delays: Or Why All Delays Are Not Evil

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Christopher Mayer
Todd Sinai

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Abstract

We examine two factors that might explain the extent of air traffic delays in the United States: network benefits due to hubbing and congestion externalities. Airline hubs enable passengers to cross-connect to many destinations, thus creating network benefits that increase in the number of markets served from the hub. Delays are the equilibrium outcome of a hub airline equating high marginal benefits from hubbing with the marginal cost of delays. Congestion externalities are created when airlines do not consider that adding flights may lead to increased delays for other air carriers. In this case, delays represent a market failure. Using data on all domestic flights by major US carriers from 1988-2000, we find that delays are increasing in hubbing activity at an airport and decreasing in market concentration but the hubbing effect dominates empirically. In addition, most delays due to hubbing actually accrue to the hub carrier, primarily because the hub carrier clusters its flights in short spans of time in order to maximize passenger interconnections. Non hub flights at hub airports operate with minimal additional travel time by avoiding the congested peak connecting times of the hub carrier. These results suggest that an optimal congestion tax would have a relatively small impact on air traffic delays since hub carriers already internalize most of the costs of hubbing and a tax that did not take the network benefits of hubbing into account could reduce social welfare.

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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 8701.

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Date of creation: Jan 2002
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Handle: RePEc:nbr:nberwo:8701

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L2 - Industrial Organization - - Firm Objectives, Organization, and Behavior
L5 - Industrial Organization - - Regulation and Industrial Policy

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  1. Jan K. Brueckner, 2002. "Internalization of Airport Congestion: A Network Analysis," CESifo Working Paper Series CESifo Working Paper No. , CESifo Group Munich. [Downloadable!]
    Other versions:
  2. Jan K. Brueckner, 2008. "Slot-Based Approaches to Airport Congestion Management," CESifo Working Paper Series CESifo Working Paper No. , CESifo Group Munich. [Downloadable!]
  3. Sayed Ajaz Hussain & Serkan Bahceci, 2008. "Network Structure and Design in the Deregulated U.S. Airline Industry: an Argument for Re-Regulation?," Working Papers tecipa-325, University of Toronto, Department of Economics. [Downloadable!]
  4. Jan K. Brueckner, 2002. "Airport Congestion When Carriers Have Market Power," American Economic Review, American Economic Association, vol. 92(5), pages 1357-1375, December. [Downloadable!]
  5. Nicholas G. Rupp & George M. Holmes & Jeff DeSimone, . "Airline Schedule Recovery after Airport Closures: Empirical Evidence since September 11th," Working Papers 0207, East Carolina University, Department of Economics. [Downloadable!]
    Other versions:
  6. Kefeng Xu & Yan Dong, . "Scheduled Delays? Scheduled Time Competition and On-Time Performance in the Airline Industry," Working Papers 0015, College of Business, University of Texas at San Antonio. [Downloadable!]
  7. Harumi Ito & Darin Lee, 2003. "Low Cost Carrier Growth in the U.S. Airline Industry: Past, Present, and Future," Working Papers 2003-12, Brown University, Department of Economics. [Downloadable!]
  8. Claudio Agostini, 2005. "El Mercado de Transporte Aéreo: Lecciones para Chile de una Revisión de la Literatura," ILADES-Georgetown University Working Papers inv163, Ilades-Georgetown University, School of Economics and Bussines. [Downloadable!]
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