Multi-stage Contests With Stochastic Ability

The authors consider the properties of perfectly discriminating contests in which players' abilities are stochastic, but become common knowledge before efforts are expended. Players whose expected ability is lower than that of their rivals may still earn a positive expected payoff from participating in the contest, which may explain why they participate. They also show that an increase in the dispersion of a player's own ability generally benefits this player. It may benefit or harm his rival, but cannot benefit the rival more than it benefits himself. They also explore the role of stochastic ability for sequential contests with the same opponent (multi-battle contests) and with varying opponents (elimination tournaments) and show that it reduces the strong discouragement effects and hold-up problems that may otherwise emerge in such games.

Provided by: Purdue University (Krannert) Topic: Software Date Added: Aug 2006 Format: PDF

Find By Topic