We study the information design for effort maximization in a simultaneous two-player two-type all-pay auction contest environment, where players have private information about their own valuations. Full characterization of the optimal signal crucially rests on the notion of ridge distributions:...

We study the optimal information disclosure policy in a two-player all-pay auction contest with one-sided asymmetric information in both simultaneous move setup and sequential move setup. The designer can pre-commit to a signal device that generates a type-dependent distribution, signaling the...

Two contestants informed of their own type compete in a contest, and the organizer ex-ante designs a public anonymous disclosure policy to maximize contestants’ total effort. While a mildly-correlated posterior leads to an efficient equilibrium with maximized surplus, a...