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Airline–airport agreements in the San Francisco Bay Area: Effects on airline behavior and congestion at airports

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  • Alcobendas, Miguel-Angel

Abstract

This paper provides a methodological framework to analyze the decisions of airlines and travelers taking into account the contractual agreement between airports and airlines. This contract sets the fees that carriers pay for landing, the rental rate for the terminal space that they occupy, as well as the methodology to determine these charges. Using data from San Francisco International Airport (SFO) and Metropolitan Oakland International Airport (OAK), we quantify the effects of changes in the agreement on the behavior of airlines and congestion at airports. In particular, we look at modifications in the design of charges and variations in the operating costs at airports. Counterfactuals suggest that different methodologies to compute charges and changes in airport costs may induce airlines to behave differently, affecting delays at airports.

Suggested Citation

  • Alcobendas, Miguel-Angel, 2014. "Airline–airport agreements in the San Francisco Bay Area: Effects on airline behavior and congestion at airports," Economics of Transportation, Elsevier, vol. 3(1), pages 58-79.
    • Handle: RePEc:eee:ecotra:v:3:y:2014:i:1:p:58-79
    DOI: 10.1016/j.ecotra.2014.02.003
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    1. Jean‐Pierre Dubé & Jeremy T. Fox & Che‐Lin Su, 2012. "Improving the Numerical Performance of Static and Dynamic Aggregate Discrete Choice Random Coefficients Demand Estimation," Econometrica, Econometric Society, vol. 80(5), pages 2231-2267, September.
    2. Ying Fan, 2013. "Ownership Consolidation and Product Characteristics: A Study of the US Daily Newspaper Market," American Economic Review, American Economic Association, vol. 103(5), pages 1598-1628, August.
    3. Nevo, Aviv, 2001. "Measuring Market Power in the Ready-to-Eat Cereal Industry," Econometrica, Econometric Society, vol. 69(2), pages 307-342, March.
    4. Steven T. Berry, 1994. "Estimating Discrete-Choice Models of Product Differentiation," RAND Journal of Economics, The RAND Corporation, vol. 25(2), pages 242-262, Summer.
    5. Brueckner, Jan K & Spiller, Pablo T, 1994. "Economies of Traffic Density in the Deregulated Airline Industry," Journal of Law and Economics, University of Chicago Press, vol. 37(2), pages 379-415, October.
    6. Germà Bel & Xavier Fageda, 2009. "Privatization, Regulation And Airport Pricing: An Empirical Analysis For Europe," RSCAS Working Papers 2009/27, European University Institute.
    7. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, October.
    8. Daniel, Joseph I., 2001. "Distributional Consequences of Airport Congestion Pricing," Journal of Urban Economics, Elsevier, vol. 50(2), pages 230-258, September.
    9. Jan Brueckner & Darin Lee & Ethan Singer, 2014. "City-Pairs Versus Airport-Pairs: A Market-Definition Methodology for the Airline Industry," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 44(1), pages 1-25, February.
    10. Villas-Boas, Sofia B., 2006. "Vertical relationships between manufacturers and retailers: inference with limited data," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt0z26d2v9, Department of Agricultural & Resource Economics, UC Berkeley.
    11. Amil Petrin, 2002. "Quantifying the Benefits of New Products: The Case of the Minivan," Journal of Political Economy, University of Chicago Press, vol. 110(4), pages 705-729, August.
    12. Villas-Boas, Sofia B., 2007. "Vertical relationships between manufacturers and retailers: inference with limited data," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt6gz1t778, Department of Agricultural & Resource Economics, UC Berkeley.
    13. Van Dender, Kurt, 2007. "Determinants of fares and operating revenues at US airports," Journal of Urban Economics, Elsevier, vol. 62(2), pages 317-336, September.
    14. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-890, July.
    15. Sofia Berto Villas-Boas, 2007. "Vertical Relationships between Manufacturers and Retailers: Inference with Limited Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 74(2), pages 625-652.
    16. Steven A. Morrison & Clifford Winston, 1989. "Enhancing the Performance of the Deregulated Air Transportation System," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 20(1989 Micr), pages 61-123.
    17. Christopher Mayer & Todd Sinai, 2003. "Network Effects, Congestion Externalities, and Air Traffic Delays: Or Why Not All Delays Are Evil," American Economic Review, American Economic Association, vol. 93(4), pages 1194-1215, September.
    18. Steven A. Morrison & Clifford Winston, 2007. "Another Look at Airport Congestion Pricing," American Economic Review, American Economic Association, vol. 97(5), pages 1970-1977, December.
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