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The Choice of Airport, Airline, and Departure Date and Time: Estimating the Demand for Flights

  • Escobari, Diego
  • Mellado, Cristhian

This paper estimates the demand for flights in an international air travel market using a unique dataset with detailed information not only on flight choices but also on contemporaneous prices and characteristics of all the alternative non-booked flights. The estimation strategy employs a simple discrete choice random utility model that we use to analyze how choices and its response to prices depend on the departing airport, the identity of the carrier, and the departure date and time. The results show that a 10\% increase in prices in a 100-seat aircraft throughout a 100-period selling season decreases quantity demanded by 7.7 seats. We also find that the quantity demanded is more responsive to prices for Delta and American, during morning and evening flights and that the response to prices changes significantly over different departure dates.

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File URL: https://mpra.ub.uni-muenchen.de/47943/1/MPRA_paper_47943.pdf
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 47943.

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Date of creation: Jul 2013
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Handle: RePEc:pra:mprapa:47943
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  24. Escobari, Diego, 2009. "Systematic peak-load pricing, congestion premia and demand diverting: Empirical evidence from airlines," EconStor Open Access Articles, ZBW - German National Library of Economics, pages 59-61.
  25. Kalyan Talluri & Garrett van Ryzin, 2004. "Revenue Management Under a General Discrete Choice Model of Consumer Behavior," Management Science, INFORMS, vol. 50(1), pages 15-33, January.
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