Before revision:  We propose a bootstrap procedure for constructing uniformly valid confidence sets for a linear functional of a partially identified parameter. The proposed method amounts to bootstrapping the value functions of a linear optimization problem, and subsumes subvector inference as a special case.
After revision:  Our proposed procedure amounts to bootstrapping the value functions of a linear optimization problem, and subsumes subvector inference as a special case.