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Demand shifting across flights and airports in a spatial competition model

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  • Escobari, Diego
  • Lee, Sang-Yeob

Abstract

This paper investigates the nature of day-to-day competition between flights using a unique panel data set on prices and inventories. We use instrumental variables methods and several spatial autoregressive models (SAR) to estimate price reaction functions. The primary source of product differentiation is departure time. After controlling for flight-specific characteristics and various sources of price dispersion, we find important evidence of demand shifting between competing flights. Most of the shift is being captured by flights scheduled to depart within a 3-hour window. We find no evidence of demand shifting between airports.

Suggested Citation

  • Escobari, Diego & Lee, Sang-Yeob, 2012. "Demand shifting across flights and airports in a spatial competition model," MPRA Paper 38799, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:38799
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    References listed on IDEAS

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    1. Diego Escobari, 2012. "Dynamic Pricing, Advance Sales and Aggregate Demand Learning in Airlines," Journal of Industrial Economics, Wiley Blackwell, vol. 60(4), pages 697-724, December.
    2. Joanna Stavins, 2001. "Price Discrimination in the Airline Market: The Effect of Market Concentration," The Review of Economics and Statistics, MIT Press, vol. 83(1), pages 200-202, February.
    3. Kelejian, Harry H & Prucha, Ingmar R, 1998. "A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 99-121, July.
    4. Borenstein, Severin & Rose, Nancy L, 1994. "Competition and Price Dispersion in the U.S. Airline Industry," Journal of Political Economy, University of Chicago Press, vol. 102(4), pages 653-683, August.
    5. Escobari, Diego, 2009. "Systematic peak-load pricing, congestion premia and demand diverting: Empirical evidence," Economics Letters, Elsevier, vol. 103(1), pages 59-61, April.
    6. 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.
    7. Joris Pinkse & Margaret E. Slade & Craig Brett, 2002. "Spatial Price Competition: A Semiparametric Approach," Econometrica, Econometric Society, vol. 70(3), pages 1111-1153, May.
    8. Prescott, Edward C, 1975. "Efficiency of the Natural Rate," Journal of Political Economy, University of Chicago Press, vol. 83(6), pages 1229-1236, December.
    9. Kristopher S. Gerardi & Adam Hale Shapiro, 2009. "Does Competition Reduce Price Dispersion? New Evidence from the Airline Industry," Journal of Political Economy, University of Chicago Press, vol. 117(1), pages 1-37, February.
    10. Lung-fei Lee, 2003. "Best Spatial Two-Stage Least Squares Estimators for a Spatial Autoregressive Model with Autoregressive Disturbances," Econometric Reviews, Taylor & Francis Journals, vol. 22(4), pages 307-335.
    11. James D. Dana Jr., 1999. "Equilibrium Price Dispersion Under Demand Uncertainty: The Roles of Costly Capacity and Market Structure," RAND Journal of Economics, The RAND Corporation, vol. 30(4), pages 632-660, Winter.
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    Cited by:

    1. Diego Escobari & Jim Lee, 2014. "Demand uncertainty and capacity utilization in airlines," Empirical Economics, Springer, vol. 47(1), pages 1-19, August.
    2. Brueckner, Jan K. & Luo, Dan, 2014. "Measuring strategic firm interaction in product-quality choices: The case of airline flight frequency," Economics of Transportation, Elsevier, vol. 3(1), pages 102-115.
    3. Diego Escobari & Cristhian Mellado, 2014. "The Choice of Airport, Airline, and Departure Date and Time: Estimating the Demand for Flights," Advances in Airline Economics,in: The Economics of International Airline Transport, volume 4, pages 177-198 Emerald Publishing Ltd.

    More about this item

    Keywords

    Spatial Autoregressive Models; Competition; Demand Shifting; Airlines;

    JEL classification:

    • L93 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Air Transportation
    • D4 - Microeconomics - - Market Structure, Pricing, and Design
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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