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Optimal rewards in contests
Author(s) -
Cohen Chen,
Kaplan Todd R.,
Sela Aner
Publication year - 2008
Publication title -
the rand journal of economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.687
H-Index - 108
eISSN - 1756-2171
pISSN - 0741-6261
DOI - 10.1111/j.0741-6261.2008.00021.x
Subject(s) - value (mathematics) , microeconomics , complete information , economics , computer science , machine learning
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.