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The effect of FAA expenditures on air travel delays

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  • Morrison, Steven A.
  • Winston, Clifford

Abstract

The Federal Aviation Administration (FAA) seeks to prevent the nation's aviation system from becoming congested. To reduce delays, the FAA makes investments in air traffic control. We assess the efficacy of these investments by developing an empirical model of delays that is motivated by air traffic control operations. We find that FAA spending has reduced the costs of delays to travelers and operators but that the FAA could generate greater benefits if spending were increased and efficiently allocated toward airports that experience the greatest delays.

Suggested Citation

  • Morrison, Steven A. & Winston, Clifford, 2008. "The effect of FAA expenditures on air travel delays," Journal of Urban Economics, Elsevier, vol. 63(2), pages 669-678, March.
  • Handle: RePEc:eee:juecon:v:63:y:2008:i:2:p:669-678
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    References listed on IDEAS

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    Cited by:

    1. Delucchi, Mark A. & McCubbin, Donald R., 2010. "External Costs of Transport in the U.S," Institute of Transportation Studies, Working Paper Series qt13n8v8gq, Institute of Transportation Studies, UC Davis.
    2. Jeffrey P. Cohen & Cletus C. Coughlin & Lesli S. Ott, 2009. "Auctions as a vehicle to reduce airport delays and achieve value capture," Review, Federal Reserve Bank of St. Louis, issue Nov, pages 569-588.
    3. Gillen, David & Jacquillat, Alexandre & Odoni, Amedeo R., 2016. "Airport demand management: The operations research and economics perspectives and potential synergies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 495-513.
    4. Assaf, A. George & Gillen, David & Tsionas, Efthymios G., 2014. "Understanding relative efficiency among airports: A general dynamic model for distinguishing technical and allocative efficiency," Transportation Research Part B: Methodological, Elsevier, vol. 70(C), pages 18-34.
    5. Mark Delucchi & Don McCubbin, 2011. "External Costs of Transport in the United States," Chapters,in: A Handbook of Transport Economics, chapter 15 Edward Elgar Publishing.
    6. Hazledine, Tim & Bunker, Rory, 2013. "Airport size and travel time," Journal of Air Transport Management, Elsevier, vol. 32(C), pages 17-23.
    7. Jacquillat, Alexandre & Odoni, Amedeo R., 2015. "Endogenous control of service rates in stochastic and dynamic queuing models of airport congestion," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 73(C), pages 133-151.
    8. Enea, Gabriele & Figurelli, Lucrezio & Giuntella, Giovanni Osea, 2010. "The Economic Benefit of Data-Communication Technology on the New York Metroplex Area," MPRA Paper 24082, University Library of Munich, Germany.
    9. Swaroop, Prem & Zou, Bo & Ball, Michael O. & Hansen, Mark, 2012. "Do more US airports need slot controls? A welfare based approach to determine slot levels," Transportation Research Part B: Methodological, Elsevier, vol. 46(9), pages 1239-1259.
    10. Rupp, Nicholas G., 2009. "Do carriers internalize congestion costs? Empirical evidence on the internalization question," Journal of Urban Economics, Elsevier, vol. 65(1), pages 24-37, January.
    11. Liu, Yi & Hansen, Mark & Zou, Bo, 2013. "Aircraft gauge differences between the US and Europe and their operational implications," Journal of Air Transport Management, Elsevier, vol. 29(C), pages 1-10.
    12. repec:eee:jaitra:v:63:y:2017:i:c:p:1-16 is not listed on IDEAS
    13. Zou, Bo & Hansen, Mark, 2012. "Flight delays, capacity investment and social welfare under air transport supply-demand equilibrium," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(6), pages 965-980.

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