Advanced Search
MyIDEAS: Login

Bringing the Four-Eyes-Principle to the Lab

Contents:

Author Info

  • Schickora, Jan Theodor
Registered author(s):

    Abstract

    The ‘Four-Eyes-Principle’ is considered as one of the most potent measures against corruption although it lacks both theoretical and empirical justification. We show in a laboratory experiment using a standard corruption game that introducing the 4EP increases corrupt behaviour, casting doubt on its usefulness as a general recommendation. Combining data on final choices with observations on the decision making processes in teams, including a content analysis of exchanged messages, provides insights into the dynamics of team decision making and shows that the individual profit maximizing motive dominates group decision making and crowds out altruistic arguments.

    Download Info

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
    File URL: http://epub.ub.uni-muenchen.de/12160/1/The4EP_Schikora.pdf
    Download Restriction: no

    Bibliographic Info

    Paper provided by University of Munich, Department of Economics in its series Discussion Papers in Economics with number 12160.

    as in new window
    Length:
    Date of creation: 01 Mar 2011
    Date of revision:
    Handle: RePEc:lmu:muenec:12160

    Contact details of provider:
    Postal: Ludwigstr. 28, 80539 Munich, Germany
    Phone: +49-(0)89-2180-3405
    Fax: +49-(0)89-2180-3510
    Web page: http://www.vwl.uni-muenchen.de
    More information through EDIRC

    Related research

    Keywords: Corruption; Laboratory Experiments; Group Decision Making;

    Find related papers by JEL classification:

    This paper has been announced in the following NEP Reports:

    References

    No references listed on IDEAS
    You can help add them by filling out this form.

    Citations

    Lists

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:lmu:muenec:12160. 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: (Alexandra Frank).

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 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.