For testing multiple null hypotheses, the classical approach to dealing with the multiplicity problem is to restrict attention to procedures that control the familywise error rate (FWER), the probability of even one false rejection. In many applications, one might be willing to tolerate more...

This paper considers the problem of inference about the effect of a program on multiple outcomes when assignment of treatment status is imperfectly randomized. Here, by imperfect randomization we mean that treatment status may have been reassigned after the initial randomization on the basis of...

This paper examines three distinct hypothesis testing problems that arise in the context of identification of some nonparametric models with endogeneity. The first hypothesis testing problem we study concerns testing necessary conditions for identification in some nonparametric models with...