  Consider a population of agents who repeatedly compete for awards, as in the
case of researchers annually applying for grants. Noise in the selection
process may encourage entry of low quality proposals, forcing the principal to
commit large resources to reviewing applications and further increasing award
misallocation. A \emph{temporary exclusion} policy prohibits an agent from
applying in the current period if they were rejected in the previous,
encouraging self-selection. We compare the steady-state equilibria of the games
with and without exclusion. Whenever the benefit from winning is large,
exclusion leads to fewer low-quality applications and higher welfare for
agents.
