IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v132y2020icp242-255.html
   My bibliography  Save this article

How do passengers react to airlines’ overbooking strategies? Evidence from the US airlines

Author

Listed:
  • Fukui, Hideki
  • Nagata, Koki

Abstract

We examine how passengers react to carriers’ various overbooking strategies by exploiting the fact that in 2011, Delta launched a bidding system that encourages passengers on an overbooked flight to give up their reserved seats voluntarily. To examine whether Delta’s bidding system is effective in increasing (reducing) the number of passengers being voluntarily (involuntarily) bumped, we estimate the changes in the number of denied boardings for Delta and other carriers before and after Delta started its bidding system. To address endogeneity and minimize omitted variable bias, we employ two-step fixed effects Poisson regression models for estimation. The estimation results suggest that Delta’s bidding system seems to work as an effective seat inventory management technique that provides an incentive for potential holdouts to give up their reserved seats voluntarily. As a result, the bidding system is supposed to keep the number of voluntarily bumped passengers from decreasing. Delta’s bidding system seems to effectively keep the number of volunteers relatively constant and, more important, reduce the number of involuntarily bumped passengers.

Suggested Citation

  • Fukui, Hideki & Nagata, Koki, 2020. "How do passengers react to airlines’ overbooking strategies? Evidence from the US airlines," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 242-255.
  • Handle: RePEc:eee:transa:v:132:y:2020:i:c:p:242-255
    DOI: 10.1016/j.tra.2019.11.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856418310395
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tra.2019.11.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wooldridge, Jeffrey M., 1999. "Distribution-free estimation of some nonlinear panel data models," Journal of Econometrics, Elsevier, vol. 90(1), pages 77-97, May.
    2. Janakiram Subramanian & Shaler Stidham & Conrad J. Lautenbacher, 1999. "Airline Yield Management with Overbooking, Cancellations, and No-Shows," Transportation Science, INFORMS, vol. 33(2), pages 147-167, May.
    3. Barry C. Smith & John F. Leimkuhler & Ross M. Darrow, 1992. "Yield Management at American Airlines," Interfaces, INFORMS, vol. 22(1), pages 8-31, February.
    4. Peter P. Belobaba, 1987. "Survey Paper---Airline Yield Management An Overview of Seat Inventory Control," Transportation Science, INFORMS, vol. 21(2), pages 63-73, May.
    5. Richard E. Chatwin, 1999. "Continuous-Time Airline Overbooking with Time-Dependent Fares and Refunds," Transportation Science, INFORMS, vol. 33(2), pages 182-191, May.
    6. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    7. Alstrup, Jens & Boas, Soren & Madsen, Oli B. G. & Vidal, ReneVictor Valqui, 1986. "Booking policy for flights with two types of passengers," European Journal of Operational Research, Elsevier, vol. 27(3), pages 274-288, December.
    8. Marvin Rothstein, 1985. "OR Forum—OR and the Airline Overbooking Problem," Operations Research, INFORMS, vol. 33(2), pages 237-248, April.
    9. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    10. Jeffrey I. McGill & Garrett J. van Ryzin, 1999. "Revenue Management: Research Overview and Prospects," Transportation Science, INFORMS, vol. 33(2), pages 233-256, May.
    11. Marvin Rothstein, 1975. "Letter to the Editor---Airline Overbooking: Fresh Approaches are Needed," Transportation Science, INFORMS, vol. 9(2), pages 169-173, May.
    12. Garrow, Laurie A. & Kressner, Josephine & Mumbower, Stacey, 2011. "Is increasing airline denied boarding compensation limits the answer? Factors that contribute to denied boardings," Journal of Air Transport Management, Elsevier, vol. 17(5), pages 271-277.
    13. A. Colin Cameron & Pravin K. Trivedi, 2010. "Microeconometrics Using Stata, Revised Edition," Stata Press books, StataCorp LP, number musr, March.
    14. Amaruchkul, Kannapha & Sae-Lim, Patipan, 2011. "Airline overbooking models with misspecification," Journal of Air Transport Management, Elsevier, vol. 17(2), pages 143-147.
    15. Suzuki, Yoshinori, 2002. "An empirical analysis of the optimal overbooking policies for US major airlines," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 38(2), pages 135-149, April.
    16. Suzuki, Yoshinori, 2006. "The net benefit of airline overbooking," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 42(1), pages 1-19, January.
    17. Richard E. Chatwin, 1998. "Multiperiod Airline Overbooking with a Single Fare Class," Operations Research, INFORMS, vol. 46(6), pages 805-819, December.
    18. Jeffrey M. Wooldridge, 2015. "Control Function Methods in Applied Econometrics," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 420-445.
    19. Itir Karaesmen & Garrett van Ryzin, 2004. "Overbooking with Substitutable Inventory Classes," Operations Research, INFORMS, vol. 52(1), pages 83-104, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ma, Jie & Tse, Ying Kei & Wang, Xiaojun & Zhang, Minhao, 2019. "Examining customer perception and behaviour through social media research – An empirical study of the United Airlines overbooking crisis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 192-205.
    2. Nurşen Aydın & Ş. İlker Birbil & J. B. G. Frenk & Nilay Noyan, 2013. "Single-Leg Airline Revenue Management with Overbooking," Transportation Science, INFORMS, vol. 47(4), pages 560-583, November.
    3. Jeffrey I. McGill & Garrett J. van Ryzin, 1999. "Revenue Management: Research Overview and Prospects," Transportation Science, INFORMS, vol. 33(2), pages 233-256, May.
    4. Lan, Yingjie & Ball, Michael O. & Karaesmen, Itir Z. & Zhang, Jean X. & Liu, Gloria X., 2015. "Analysis of seat allocation and overbooking decisions with hybrid information," European Journal of Operational Research, Elsevier, vol. 240(2), pages 493-504.
    5. Syed Asif Raza & Rafi Ashrafi & Ali Akgunduz, 2020. "A bibliometric analysis of revenue management in airline industry," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 19(6), pages 436-465, December.
    6. J. B. G. Frenk & Behrooz Pourghannad & Semih O. Sezer, 2017. "A Static Model in Single Leg Flight Airline Revenue Management," Transportation Science, INFORMS, vol. 51(1), pages 214-232, February.
    7. Feng, Youyi & Xiao, Baichun, 2006. "A continuous-time seat control model for single-leg flights with no-shows and optimal overbooking upper bound," European Journal of Operational Research, Elsevier, vol. 174(2), pages 1298-1316, October.
    8. Alavi Fard, Farzad & Sy, Malick & Ivanov, Dmitry, 2019. "Optimal overbooking strategies in the airlines using dynamic programming approach in continuous time," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 384-399.
    9. Yingjie Lan & Michael O. Ball & Itir Z. Karaesmen, 2011. "Regret in Overbooking and Fare-Class Allocation for Single Leg," Manufacturing & Service Operations Management, INFORMS, vol. 13(2), pages 194-208, December.
    10. Wei Wang & Darius Walczak, 2016. "Overbooking under dynamic and static policies," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 15(6), pages 534-553, December.
    11. Guo, Xiaolong & Dong, Yufeng & Ling, Liuyi, 2016. "Customer perspective on overbooking: The failure of customers to enjoy their reserved services, accidental or intended?," Journal of Air Transport Management, Elsevier, vol. 53(C), pages 65-72.
    12. Itir Karaesmen & Garrett van Ryzin, 2004. "Overbooking with Substitutable Inventory Classes," Operations Research, INFORMS, vol. 52(1), pages 83-104, February.
    13. Ming Xu & Yan Jiao & Xiaoming Li & Qingfeng Cao & Xiaoyang Wang, 2015. "A Multi-Period Optimization Model for Service Providers Using Online Reservation Systems: An Application to Hotels," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-18, July.
    14. Ge, Yanming & Xu, Yifan & Dai, Yue, 2010. "Overbooking with bilateral transference in parallel flights," International Journal of Production Economics, Elsevier, vol. 128(2), pages 577-585, December.
    15. Benoit Lardeux & Gabrielle Sabatier & Thierry Delahaye & Mourad Boudia & Odile Tonnet & Pierre Mathieu, 2019. "Yield optimization for airlines from ticket resell," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 18(3), pages 213-227, June.
    16. Nurşen Aydın & Ş. İlker Birbil & Hüseyin Topaloğlu, 2017. "Delayed Purchase Options in Single-Leg Revenue Management," Transportation Science, INFORMS, vol. 51(4), pages 1031-1045, November.
    17. Robert A. Shumsky & Fuqiang Zhang, 2009. "Dynamic Capacity Management with Substitution," Operations Research, INFORMS, vol. 57(3), pages 671-684, June.
    18. ChihChien Chen, 2016. "Cancellation policies in the hotel, airline and restaurant industries," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 15(3), pages 270-275, July.
    19. Maddah, Bacel & Moussawi-Haidar, Lama & El-Taha, Muhammad & Rida, Hussein, 2010. "Dynamic cruise ship revenue management," European Journal of Operational Research, Elsevier, vol. 207(1), pages 445-455, November.
    20. Luo, Sirong & Çakany?ld?r?m, Metin & Kasilingam, Raja G., 2009. "Two-dimensional cargo overbooking models," European Journal of Operational Research, Elsevier, vol. 197(3), pages 862-883, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transa:v:132:y:2020:i:c:p:242-255. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.