IDEAS home Printed from https://ideas.repec.org/h/eee/ecochp/6a-60.html
   My bibliography  Save this book chapter

Nonparametric Approaches to Auctions

In: Handbook of Econometrics

Author

Listed:
  • Athey, Susan
  • Haile, Philip A.

Abstract

This chapter discusses structural econometric approaches to auctions. Remarkably, much of what can be learned from auction data can be learned without restrictions beyond those derived from the relevant economic model. This enables us to take a nonparametric perspective in discussing how the structure of auction models can be combined with observables to uncover (or test hypotheses about) primitives of interest in auction markets. We focus on first-price sealed-bid and ascending auctions, including extensions to Dutch auctions, Internet auctions, multi-unit auctions, and multi-object auctions. We consider a wide range of underlying structures of bidder demand and information, as well as a variety of types of data one may encounter in applications. We discuss identification and testable restrictions of these models and present a variety of estimation approaches.

Suggested Citation

  • Athey, Susan & Haile, Philip A., 2007. "Nonparametric Approaches to Auctions," Handbook of Econometrics,in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 60 Elsevier.
  • Handle: RePEc:eee:ecochp:6a-60
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/B7GX7-4R9GYJT-3/2/15d3ed9aff5c4a95999e12e2a4afae06
    Download Restriction: Full text for ScienceDirect subscribers only

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

    More about this item

    JEL classification:

    • C39 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Other

    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:eee:ecochp:6a-60. 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: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/wps/find/bookseriesdescription.cws_home/BS_HE/description .

    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 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.

    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.