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An Analysis of Dynamic Price Discrimination in Airlines

Author

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  • Diego Escobari
  • Nicholas G. Rupp
  • Joseph Meskey

Abstract

Prices for the same flight change substantially depending on the time of purchase. This article uses a unique data set with round‐the‐clock posted fares to document significant within‐day price variation. Labeling time‐variation as discriminatory is difficult because the cost of an unsold airline seat changes with inventory, days before departure, and aggregate demand expectations. After controlling for these factors and aggregating hourly fares to have a framework with two consumer types, we are able to identify a component that is largely consistent with dynamic price discrimination. We find higher prices during office hours (when business travelers are likely to buy) and lower prices in the evening (when leisure travelers are more likely to purchase). As the proportion of business travelers increases closer to departure, both price dispersion and price discrimination become larger. We provide an alternative explanation for the observed within‐day price differentials which is related to Edgeworth price cycles.

Suggested Citation

  • Diego Escobari & Nicholas G. Rupp & Joseph Meskey, 2019. "An Analysis of Dynamic Price Discrimination in Airlines," Southern Economic Journal, John Wiley & Sons, vol. 85(3), pages 639-662, January.
  • Handle: RePEc:wly:soecon:v:85:y:2019:i:3:p:639-662
    DOI: 10.1002/soej.12309
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    Cited by:

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    2. Groh, Carl-Christian, 2023. "Search, Data, and Market Power," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277701, Verein für Socialpolitik / German Economic Association.
    3. Siegert, Caspar & Ulbricht, Robert, 2020. "Dynamic oligopoly pricing: Evidence from the airline industry," International Journal of Industrial Organization, Elsevier, vol. 71(C).
    4. Luttmann, Alexander & Gaggero, Alberto A, 2022. "How does COVID-19 affect intertemporal price dispersion? Evidence from the airline industry," MPRA Paper 111797, University Library of Munich, Germany.
    5. Luttmann, Alexander & Gaggero, Alberto A, 2020. "Purchase discounts and travel premiums during holiday periods: Evidence from the airline industry," MPRA Paper 104863, University Library of Munich, Germany.
    6. Myongjin Kim & Qihong Liu & Nicholas G. Rupp, 2023. "When Do Firms Offer Higher Product Quality? Evidence from the Allocation of Inflight Amenities," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 62(2), pages 149-177, March.
    7. Button, Kenneth & Porta, Flavio & Scotti, Davide, 2020. "The role of strategic airline alliances in Africa," MPRA Paper 108265, University Library of Munich, Germany.
    8. Peng Du & Lei Xu & Rou Luo & Mingzhu Hou, 2024. "Competing with Low Cost Carrier in a Sustainable Environment: Airline Ticket Pricing, Carbon Trading, and Market Power Structure," Sustainability, MDPI, vol. 16(2), pages 1-17, January.
    9. Mohit Tyagi & Nomesh B. Bolia, 2022. "Approaches for restaurant revenue management," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(1), pages 17-35, February.
    10. Meire, Sarah & Derudder, Ben, 2021. "Virtual interlining within the European airport network: An airfare analysis," Journal of Air Transport Management, Elsevier, vol. 94(C).

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    More about this item

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • L93 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Air Transportation

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