We study all-pay contests with effort-dependent rewards under incomplete information. A contestant's value to winning depends not only on his type but also on the effort-dependent reward chosen by the designer. We analyze which reward is optimal for the designer when his objective is either total effort or highest effort. We find that under certain conditions the optimal reward may either be negative or even decreasing in effort; however, we find no advantage to having multiple rewards. Copyright (c) 2008, RAND.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. 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.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Cited by: (explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)
Alex Gershkov & Jianpei Li & Paul Schweinzer, 2006.
"Collective Production and Incentives,"
Discussion Papers
186, SFB/TR 15 Governance and the Efficiency of Economic Systems, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
[Downloadable!]