IDEAS home Printed from https://ideas.repec.org/p/red/sed006/830.html

Nearly Optimal Pricing for Multiproduct Firms

Author

Listed:
  • Chenghuan Sean Chu
  • Phillip Leslie
  • Alan Sorensen

    (Graduate School of Business Stanford University)

Abstract

We examine pricing strategies for a multiproduct monopolist. We show that simple quantity discounting strategies are almost as profitable as fully optimal bundling. We investigate this in an empirical example, using data from a theater company

Suggested Citation

  • Chenghuan Sean Chu & Phillip Leslie & Alan Sorensen, 2006. "Nearly Optimal Pricing for Multiproduct Firms," 2006 Meeting Papers 830, Society for Economic Dynamics.
  • Handle: RePEc:red:sed006:830
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    Other versions of this item:

    Citations

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


    Cited by:

    1. is not listed on IDEAS
    2. Shi, Guanming & Chavas, Jean-Paul & Stiegert, Kyle W., 2008. "An Analysis of Bundle Pricing: The Case of the Corn Seed Market," Staff Papers 92212, University of Wisconsin-Madison, Department of Agricultural and Applied Economics.
    3. John C. Eckalbar, 2010. "Closed‐Form Solutions to Bundling Problems," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 19(2), pages 513-544, June.
    4. Katherine Ho & Justin Ho & Julie Holland Mortimer, 2012. "The Use of Full-Line Forcing Contracts in the Video Rental Industry," American Economic Review, American Economic Association, vol. 102(2), pages 686-719, April.
    5. Kevin K. Wang & Michael D. Wittman & Thomas Fiig, 2023. "Dynamic offer creation for airline ancillaries using a Markov chain choice model," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 22(2), pages 103-121, April.
    6. Suen, Richard M.H., 2013. "Research Policy and U.S. Economic Growth," MPRA Paper 49103, University Library of Munich, Germany.

    More about this item

    Keywords

    ;
    ;

    JEL classification:

    • L10 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - General
    • D41 - Microeconomics - - Market Structure, Pricing, and Design - - - Perfect Competition

    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:red:sed006:830. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Christian Zimmermann (email available below). General contact details of provider: https://edirc.repec.org/data/sedddea.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.