IDEAS home Printed from https://ideas.repec.org/a/bla/jindec/v55y2007i4p739-769.html
   My bibliography  Save this article

THE EFFECT OF GROUP SIZE AND ASYMMETRIES ON THE INCENTIVE TO REVEAL GROUP-SPECIFIC INFORMATION -super-

Author

Listed:
  • DAVID REIFFEN

Abstract

In this paper, I examine how firms' incentives to differentiate their products through the revelation of truthful information about product attributes varies with the distribution of consumer preferences for those attributes. I show that information will tend to be provided for large groups, even absent scale economies in producing that information. In addition, the relative sizes of the groups whose estimates of product quality change positively vs. negatively (i.e., the degree of asymmetry) by the information is likewise an important determinant of its profitability. Copyright 2007 Blackwell Publishing Ltd..

Suggested Citation

  • David Reiffen, 2007. "THE EFFECT OF GROUP SIZE AND ASYMMETRIES ON THE INCENTIVE TO REVEAL GROUP-SPECIFIC INFORMATION -super-," Journal of Industrial Economics, Wiley Blackwell, vol. 55(4), pages 739-769, December.
  • Handle: RePEc:bla:jindec:v:55:y:2007:i:4:p:739-769
    as

    Download full text from publisher

    File URL: http://www.blackwell-synergy.com/doi/abs/10.1111/j.1467-6451.2007.00328.x
    File Function: link to full text
    Download Restriction: Access to full text is restricted to subscribers.

    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. Gene M. Grossman & Carl Shapiro, 1984. "Informative Advertising with Differentiated Products," Review of Economic Studies, Oxford University Press, vol. 51(1), pages 63-81.
    2. Meurer, Michael & Stahl, Dale II, 1994. "Informative advertising and product match," International Journal of Industrial Organization, Elsevier, vol. 12(1), pages 1-19, March.
    3. Kai A. Konrad, 2004. "Inverse Campaigning," Economic Journal, Royal Economic Society, vol. 114(492), pages 69-82, January.
    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. Se Hoon Bang & Jaesoo Kim & Young-Ro Yoon, 2014. "Reverse Price Discrimination with Bayesian Buyers," Journal of Industrial Economics, Wiley Blackwell, vol. 62(2), pages 286-308, June.

    More about this item

    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:bla:jindec:v:55:y:2007:i:4:p:739-769. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley-Blackwell Digital Licensing) or (Christopher F. Baum). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0022-1821 .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.