We provide new methods for inference in econometric models where the parameter of interest is a set. These models arise in many situations where point identification requires strong (and sometimes untestable) assumptions. Every parameter vector in the set of interest represents a feasible...

We provide a framework for inference in discrete games that involve multiple decision makers and use it to study airline market structure in the US. We make inferences on a "class of models" rather that looking for point identifying assumptions that pin down a unique model. Making inferences in...