This paper introduces a rank-based test for the instrumental variables regression model that dominates the Anderson-Rubin test in terms of ﬁnite sample size and asymptotic power in certain circumstances. The test has correct size for any distribution of the errors with weak or strong instruments. The test has noticeably higher power than the Anderson-Rubin test when the error distribution has thick tails and comparable power otherwise. Like the Anderson-Rubin test, the rank tests considered here perform best, relative to other available tests, in exactly-identiﬁed models.
Andrews, Donald W.K. and Marmer, Vadim, "Exactly Distribution-Free Inference in Instrumental Variables Regression with Possibly Weak Instruments" (2005). Cowles Foundation Discussion Papers. 1783.