IDEAS home Printed from https://ideas.repec.org/a/wly/emetrp/v83y2015i4p1619-1639.html
   My bibliography  Save this article

Tight Revenue Bounds With Possibilistic Beliefs and Level‐k Rationality

Author

Listed:
  • Jing Chen
  • Silvio Micali
  • Rafael Pass

Abstract

Mechanism design enables a social planner to obtain a desired outcome by leveraging the players' rationality and their beliefs. It is thus a fundamental, but yet unproven, intuition that the higher the level of rationality of the players, the better the set of obtainable outcomes. In this paper, we prove this fundamental intuition for players with possibilistic beliefs, a model long considered in epistemic game theory. Specifically, • We define a sequence of monotonically increasing revenue benchmarks for single‐good auctions, G-super-0≤G-super-1≤G-super-2≤⋯, where each G-super-i is defined over the players' beliefs and G-super-0 is the second‐highest valuation (i.e., the revenue benchmark achieved by the second‐price mechanism). • We (1) construct a single, interim individually rational, auction mechanism that, without any clue about the rationality level of the players, guarantees revenue G-super-k if all players have rationality levels ≥k+1, and (2) prove that no such mechanism can guarantee revenue even close to G-super-k when at least two players are at most level‐k rational.

Suggested Citation

  • Jing Chen & Silvio Micali & Rafael Pass, 2015. "Tight Revenue Bounds With Possibilistic Beliefs and Level‐k Rationality," Econometrica, Econometric Society, vol. 83(4), pages 1619-1639, July.
  • Handle: RePEc:wly:emetrp:v:83:y:2015:i:4:p:1619-1639
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Bergemann, Dirk & Morris, Stephen, 2017. "Belief-free rationalizability and informational robustness," Games and Economic Behavior, Elsevier, vol. 104(C), pages 744-759.
    2. Daske, Thomas & March, Christoph, 2024. "Efficient incentives with social preferences," Theoretical Economics, Econometric Society, vol. 19(3), July.
    3. Jaeok Park & Doo Hyung Yun, 2023. "Possibilistic beliefs in strategic games," Theory and Decision, Springer, vol. 95(2), pages 205-228, August.
    4. Guarino, Pierfrancesco & Ziegler, Gabriel, 2022. "Optimism and pessimism in strategic interactions under ignorance," Games and Economic Behavior, Elsevier, vol. 136(C), pages 559-585.

    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:wly:emetrp:v:83:y:2015:i:4:p:1619-1639. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/essssea.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.