IDEAS home Printed from https://ideas.repec.org/p/hst/ghsdps/gd11-224.html
   My bibliography  Save this paper

Scoring Auction by an Informed Principal

Author

Listed:
  • Takeshi Nishimura

Abstract

This paper considers a scoring auction used in procurement. In this auction, each supplier offers both price and quality, and a supplier whose offer achieves the highest score wins. The environment we consider has two features: the buyer has private information and quality is multi-dimensional. We show that a scoring auction implements the ex ante optimal mechanism for the buyer when the value complementarity between quality attributes is sufficiently greater than the cost substitutability. We further show how the buyer should design scoring rules.

Suggested Citation

  • Takeshi Nishimura, 2012. "Scoring Auction by an Informed Principal," Global COE Hi-Stat Discussion Paper Series gd11-224, Institute of Economic Research, Hitotsubashi University.
  • Handle: RePEc:hst:ghsdps:gd11-224
    as

    Download full text from publisher

    File URL: http://gcoe.ier.hit-u.ac.jp/research/discussion/2008/pdf/gd11-224.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Myerson, Roger B, 1983. "Mechanism Design by an Informed Principal," Econometrica, Econometric Society, vol. 51(6), pages 1767-1797, November.
    2. John Asker & Estelle Cantillon, 2008. "Properties of scoring auctions," RAND Journal of Economics, RAND Corporation, vol. 39(1), pages 69-85.
    3. John Asker & Estelle Cantillon, 2010. "Procurement when price and quality matter," RAND Journal of Economics, RAND Corporation, vol. 41(1), pages 1-34.
    4. Guofu Tan, 1996. "Optimal Procurement Mechanisms for an Informed Buyer," Canadian Journal of Economics, Canadian Economics Association, vol. 29(3), pages 699-716, August.
    5. Laffont, Jean-Jacques & Tirole, Jean, 1987. "Auctioning Incentive Contracts," Journal of Political Economy, University of Chicago Press, vol. 95(5), pages 921-937, October.
    6. Maskin, Eric & Tirole, Jean, 1990. "The Principal-Agent Relationship with an Informed Principal: The Case of Private Values," Econometrica, Econometric Society, vol. 58(2), pages 379-409, March.
    7. Thomas Troeger & Tymofiy Mylovanov, 2010. "Optimal Auction Design and Irrelevance of Privacy of Information," 2010 Meeting Papers 1039, Society for Economic Dynamics.
    Full references (including those not matched with items on IDEAS)

    More about this item

    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:hst:ghsdps:gd11-224. 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: (Tatsuji Makino). General contact details of provider: http://edirc.repec.org/data/iehitjp.html .

    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.