IDEAS home Printed from https://ideas.repec.org/a/aea/aejmic/v13y2021i4p373-419.html
   My bibliography  Save this article

A Delegation-Based Theory of Expertise

Author

Listed:
  • Attila Ambrus
  • Volodymyr Baranovskyi
  • Aaron Kolb

Abstract

We investigate information aggregation and competition in a delegation framework. An uninformed principal is unable to perform a task herself and must choose between one of two biased and imperfectly informed experts. In the focal equilibrium, experts exaggerate their biases, anticipating an ideological winner's curse. We show that having a second expert can benefit the principal, even when equally or more biased than the first expert. The principal can benefit from commitment to an "element of surprise" and prefers experts with equal rather than opposite biases.

Suggested Citation

  • Attila Ambrus & Volodymyr Baranovskyi & Aaron Kolb, 2021. "A Delegation-Based Theory of Expertise," American Economic Journal: Microeconomics, American Economic Association, vol. 13(4), pages 373-419, November.
  • Handle: RePEc:aea:aejmic:v:13:y:2021:i:4:p:373-419
    DOI: 10.1257/mic.20190008
    as

    Download full text from publisher

    File URL: https://www.aeaweb.org/doi/10.1257/mic.20190008
    Download Restriction: no

    File URL: https://www.aeaweb.org/doi/10.1257/mic.20190008.appx
    Download Restriction: no

    File URL: https://www.aeaweb.org/doi/10.1257/mic.20190008.ds
    Download Restriction: Access to full text is restricted to AEA members and institutional subscribers.

    File URL: https://libkey.io/10.1257/mic.20190008?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

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


    Cited by:

    1. Daniel Habermacher, 2022. "Information Aggregation in Multidimensional Cheap Talk," Working Papers 169, Red Nacional de Investigadores en Economía (RedNIE).
    2. Manuel Foerster & Daniel Habermacher, 2023. "Policy-advising Competition and Endogenous Lobbies," Working Papers 229, Red Nacional de Investigadores en Economía (RedNIE).

    More about this item

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

    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:aea:aejmic:v:13:y:2021:i:4:p:373-419. 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: Michael P. Albert (email available below). General contact details of provider: https://edirc.repec.org/data/aeaaaea.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.