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We develop a Stata command, bootranktest, for implementing the matrix ranktest of Chen and Fang (2019) in linear instrumental variable regression models.Existing rank tests employ critical values that may be too small, and hence maynot even be first order valid in the sense that they may fail to control theType I error. By appealing to the bootstrap, they devise a test that overcomesthe deficiency of existing tests. The command bootranktest implements thetwo-step version of their test, and also the analytic version if chosen. Thecommand also accommodates data with temporal and cluster dependence.

Implementing an Improved Test of Matrix Rank in Stata