We study optimal information disclosure in static contests where players do not know their own values of winning but can learn them, publicly or privately, from the designer. The designer chooses a disclosure policy that maximizes the total expected effort, and commits to it before observing the...

We study optimal information disclosure in static contests where players do not know their own values of winning but can learn them, publicly or privately, from the designer. The designer chooses a disclosure policy that maximizes the total expected effort and commits to it before observing the...