IDEAS home Printed from https://ideas.repec.org/p/cwl/cwldpp/2312r3.html
   My bibliography  Save this paper

Organizational Structure and Pricing: Evidence from a Large U.S. Airline

Author

Listed:
  • Ali Hortacsu

    (University of Chicago and NBER)

  • Olivia R. Natan

    (University of California, Berkeley)

  • Hayden Parsley

    (University of Texas, Austin)

  • Timothy Schwieg

    (University of Chicago, Booth)

  • Kevin R. Williams

    (Cowles Foundation, Yale University)

Abstract

Firms facing complex objectives often decompose the problems they face, delegating different parts of the decision to distinct subordinates. Using comprehensive data and internal models from a large U.S. airline, we establish that airline pricing is inconsistent with canonical dynamic pricing models. However, we show that observed prices can be rationalized as an equilibrium of a game played by departments who each have decision rights for different inputs that are supplied to the observed pricing heuristic. Incorrectly assuming that the firm solves a standard profit maximization problem as a single entity understates overall welfare actually achieved but affects business and leisure consumers differently. Likewise, we show that assuming prices are set through standard profit maximization leads to incorrect inferences about consumer demand elasticities and thus welfare.

Suggested Citation

  • Ali Hortacsu & Olivia R. Natan & Hayden Parsley & Timothy Schwieg & Kevin R. Williams, 2021. "Organizational Structure and Pricing: Evidence from a Large U.S. Airline," Cowles Foundation Discussion Papers 2312R3, Cowles Foundation for Research in Economics, Yale University, revised Jan 2023.
    • Handle: RePEc:cwl:cwldpp:2312r3
    as

    Download full text from publisher

    File URL: https://cowles.yale.edu/sites/default/files/2023-04/d2312r3.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Herbert A. Simon, 1955. "A Behavioral Model of Rational Choice," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 69(1), pages 99-118.
    2. Ben Vinod, 2021. "The Evolution of Yield Management in the Airline Industry," Management for Professionals, Springer, edition 1, number 978-3-030-70424-7, October.
    3. Gaurab Aryal & Charles Murry & Jonathan W Williams, 2024. "Price Discrimination in International Airline Markets," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(2), pages 641-689.
    4. Zach Y. Brown & Alexander MacKay, 2023. "Competition in Pricing Algorithms," American Economic Journal: Microeconomics, American Economic Association, vol. 15(2), pages 109-156, May.
    5. Levitt, Steven D., 2016. "Bagels and donuts for sale: A case study in profit maximization," Research in Economics, Elsevier, vol. 70(4), pages 518-535.
    6. Heikki Rantakari, 2008. "Governing Adaptation -super-1," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 75(4), pages 1257-1285.
    7. Kevin R. Williams, 2022. "The Welfare Effects of Dynamic Pricing: Evidence From Airline Markets," Econometrica, Econometric Society, vol. 90(2), pages 831-858, March.
    8. Stefano DellaVigna & Matthew Gentzkow, 2019. "Uniform Pricing in U.S. Retail Chains," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(4), pages 2011-2084.
    9. Ricardo Alonso & Wouter Dessein & Niko Matouschek, 2008. "When Does Coordination Require Centralization?," American Economic Review, American Economic Association, vol. 98(1), pages 145-179, March.
    10. Sacarny, Adam, 2018. "Adoption and learning across hospitals: The case of a revenue-generating practice," Journal of Health Economics, Elsevier, vol. 60(C), pages 142-164.
    11. John Rust, 2019. "Has Dynamic Programming Improved Decision Making?," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 833-858, August.
    12. John Rust & Sungjin Cho, 2018. "Optimal Dynamic Hotel Pricing," 2018 Meeting Papers 179, Society for Economic Dynamics.
    13. Milgrom, Paul & Roberts, John, 1990. "Rationalizability, Learning, and Equilibrium in Games with Strategic Complementarities," Econometrica, Econometric Society, vol. 58(6), pages 1255-1277, November.
    14. Jeffrey I. McGill & Garrett J. van Ryzin, 1999. "Revenue Management: Research Overview and Prospects," Transportation Science, INFORMS, vol. 33(2), pages 233-256, May.
    15. Jun Li & Nelson Granados & Serguei Netessine, 2014. "Are Consumers Strategic? Structural Estimation from the Air-Travel Industry," Management Science, INFORMS, vol. 60(9), pages 2114-2137, September.
    16. Radner, Roy, 1993. "The Organization of Decentralized Information Processing," Econometrica, Econometric Society, vol. 61(5), pages 1109-1146, September.
    17. Richard D. Wollmer, 1992. "An Airline Seat Management Model for a Single Leg Route When Lower Fare Classes Book First," Operations Research, INFORMS, vol. 40(1), pages 26-37, 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. Günter J. Hitsch & Sanjog Misra & Walter W. Zhang, 2024. "Heterogeneous treatment effects and optimal targeting policy evaluation," Quantitative Marketing and Economics (QME), Springer, vol. 22(2), pages 115-168, June.
    2. Ali Hortacsu & Olivia R. Natan & Hayden Parsley & Timothy Schwieg & Kevin R. Williams, 2021. "Incorporating Search and Sales Information in Demand Estimation," Cowles Foundation Discussion Papers 2313R1, Cowles Foundation for Research in Economics, Yale University, revised Mar 2023.

    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. Ali Hortacsu & Olivia R. Natan & Hayden Parsley & Timothy Schwieg & Kevin R. Williams, 2021. "Organizational Structure and Pricing: Evidence from a Large U.S. Airline," Cowles Foundation Discussion Papers 2312R4, Cowles Foundation for Research in Economics, Yale University, revised Jun 2023.
    2. Ali Hortaçsu & Olivia R. Natan & Hayden Parsley & Timothy Schwieg & Kevin R. Williams, 2021. "Organizational Structure and Pricing: Evidence from a Large U.S. Airline," NBER Working Papers 29508, National Bureau of Economic Research, Inc.
    3. Aniko …ry & Ali Horta su & Kevin Williams, 2022. "Dynamic Price Competition: Theory and Evidence from Airline Markets," Cowles Foundation Discussion Papers 2341R1, Cowles Foundation for Research in Economics, Yale University, revised Apr 2023.
    4. Kevin R. Williams, 2017. "The Welfare Effects of Dynamic Pricing: Evidence from Airline Markets," Cowles Foundation Discussion Papers 2103R2, Cowles Foundation for Research in Economics, Yale University, revised Jun 2021.
    5. Kevin R. Williams, 2017. "Dynamic Airline Pricing and Seat Availability," Cowles Foundation Discussion Papers 2103R, Cowles Foundation for Research in Economics, Yale University, revised May 2020.
    6. Choe, Chongwoo & Ishiguro, Shingo, 2008. "On the (Sub)optimality of Multi-tier Hierarchies: Coordination versus Motivation," MPRA Paper 13451, University Library of Munich, Germany.
    7. Migrow, Dimitri, 2018. "Designing Communication Hierarchies," CRETA Online Discussion Paper Series 44, Centre for Research in Economic Theory and its Applications CRETA.
    8. Daniel Garcia & Juha Tolvanen & Alexander K. Wagner, 2022. "Demand Estimation Using Managerial Responses to Automated Price Recommendations," Management Science, INFORMS, vol. 68(11), pages 7918-7939, November.
    9. Migrow, Dimitri, 2021. "Designing communication hierarchies," Journal of Economic Theory, Elsevier, vol. 198(C).
    10. Choe Chongwoo & Park In-Uck, 2011. "Information, Authority, and Corporate Hierarchies," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 11(1), pages 1-39, February.
    11. Alderighi, Marco & Gaggero, Alberto A. & Piga, Claudio A., 2022. "Hidden prices with fixed inventory: Evidence from the airline industry," Transportation Research Part B: Methodological, Elsevier, vol. 157(C), pages 42-61.
    12. Dai Yao & Chuang Tang & Junhong Chu, 2023. "A Dynamic Model of Owner Acceptance in Peer-to-Peer Sharing Markets," Marketing Science, INFORMS, vol. 42(1), pages 166-188, January.
    13. Kakhbod, Ali & Loginova, Uliana, 2023. "When does introducing verifiable communication choices improve welfare?," Journal of Economic Behavior & Organization, Elsevier, vol. 210(C), pages 139-162.
    14. Ilya Segal & Michael D.Whinston, 2012. "Property Rights [The Handbook of Organizational Economics]," Introductory Chapters,, Princeton University Press.
    15. Katayama, Hajime & Meagher, Kieron J. & Wait, Andrew, 2018. "Authority and communication in firms," Journal of Economic Behavior & Organization, Elsevier, vol. 155(C), pages 315-348.
    16. Asuyama, Yoko, 2020. "Delegation to workers across countries and industries: Interacting effects of social capital and coordination needs," International Journal of Industrial Organization, Elsevier, vol. 69(C).
    17. Kevin R. Williams, 2022. "The Welfare Effects of Dynamic Pricing: Evidence From Airline Markets," Econometrica, Econometric Society, vol. 90(2), pages 831-858, March.
    18. Galeotti, Andrea & Ghiglino, Christian & Squintani, Francesco, 2009. "Strategic Information Transmission in Networks," Economics Discussion Papers 2974, University of Essex, Department of Economics.
    19. Shuo Liu & Dimitri Migrow, 2019. "Designing organizations in volatile markets," ECON - Working Papers 319, Department of Economics - University of Zurich.
    20. DeCanio, Stephen J. & Watkins, William E., 1998. "Information processing and organizational structure," Journal of Economic Behavior & Organization, Elsevier, vol. 36(3), pages 275-294, August.

    More about this item

    Keywords

    Dynamic Pricing; Pricing Heuristics; Organizational Structure; Revenue Management; Behavioral IO; Airlines;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • D42 - Microeconomics - - Market Structure, Pricing, and Design - - - Monopoly
    • L10 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - General
    • L93 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Air Transportation

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:cwl:cwldpp:2312r3. 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: Brittany Ladd (email available below). General contact details of provider: https://edirc.repec.org/data/cowleus.html .

    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.