IDEAS home Printed from https://ideas.repec.org/p/tky/fseres/2008cf585.html
   My bibliography  Save this paper

Biased Motivation of Experts: Should They be Aggressive or Conservative?

Author

Listed:
  • Noriyuki Yanagawa

    (Faculty of Economics, University of Tokyo)

Abstract

When we intend to hire a professional expert, which type of expert should we hire? Although it is sometimes claimed that decisions of experts tend to be conservative, is it optimal to choose a conservative expert? This paper attempts to answer these questions. It will show that a principal should hire a conservative expert, i.e., an expert who has biased preference for maintaining the status quo. The crucial aspect is that there is a possibility that the expert may not transmit truthful information. A neutral expert or an expert who has biased preference for implementing the project has a very strong incentive to recommend the project. Even when he/she cannot recognize whether the project is sufficiently productive, he may recommend the project. Hence, a conservative expert is considered to be beneficial for the principal.

Suggested Citation

  • Noriyuki Yanagawa, 2008. "Biased Motivation of Experts: Should They be Aggressive or Conservative?," CIRJE F-Series CIRJE-F-585, CIRJE, Faculty of Economics, University of Tokyo.
  • Handle: RePEc:tky:fseres:2008cf585
    as

    Download full text from publisher

    File URL: http://www.cirje.e.u-tokyo.ac.jp/research/dp/2008/2008cf585.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Hao Li, 2001. "A Theory of Conservatism," Journal of Political Economy, University of Chicago Press, vol. 109(3), pages 617-636, June.
    2. Tilman Ehrbeck & Robert Waldmann, 1996. "Why Are Professional Forecasters Biased? Agency versus Behavioral Explanations," The Quarterly Journal of Economics, Oxford University Press, vol. 111(1), pages 21-40.
    3. Gromb, Denis & Martimort, David, 2007. "Collusion and the organization of delegated expertise," Journal of Economic Theory, Elsevier, vol. 137(1), pages 271-299, November.
    4. Baliga, Sandeep & Sjostrom, Tomas, 2001. "Optimal Design of Peer Review and Self-Assessment Schemes," RAND Journal of Economics, The RAND Corporation, vol. 32(1), pages 27-51, Spring.
    5. John R. Graham, 1999. "Herding among Investment Newsletters: Theory and Evidence," Journal of Finance, American Finance Association, vol. 54(1), pages 237-268, February.
    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:tky:fseres:2008cf585. 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: (CIRJE administrative office). General contact details of provider: http://edirc.repec.org/data/ritokjp.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.