IDEAS home Printed from
   My bibliography  Save this paper

Bringing good and bad Whistle-blowers to the Lab


  • Schikora, Jan Theodor


Whistle-blowing is seen as a powerful tool in containing corruption, although theoretical findings and experimental evidence cast doubt on its effectiveness. We expand a standard corruption model by allowing both, briber and official to initiate corruption actively, in order to assess the full effect of whistle-blowing. In our laboratory experiment we find that the effect of symmetrically punished whistle-blowing is ambiguous since it reduces the impact of corruption on productive activity, but also increases its stability. We show that asymmetric leniency for the official offsets the negative effect. The results can be explained by simple arguments about belief structures within the self-interested model of payoff maximizing.

Suggested Citation

  • Schikora, Jan Theodor, 2011. "Bringing good and bad Whistle-blowers to the Lab," Discussion Papers in Economics 12161, University of Munich, Department of Economics.
  • Handle: RePEc:lmu:muenec:12161

    Download full text from publisher

    File URL:
    Download Restriction: no


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

    Cited by:

    1. Murray, Cameron K. & Frijters, Paul & Vorster, Melissa, 2015. "Give and You Shall Receive: The Emergence of Welfare-Reducing Reciprocity," IZA Discussion Papers 9010, Institute for the Study of Labor (IZA).

    More about this item


    Corruption; Experiments; Whistle-blowing; Punishment;

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    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:lmu:muenec:12161. 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: (Tamilla Benkelberg). General contact details of provider: .

    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.