Bootstrap statistical tests of rank determination for system identification

Identification of multivariate state-space models involves the specification of the dimension of the state vector. This note evaluates the performance of some asymptotic statistical tests of rank determination together with their bootstrapped versions against information criteria (IC) methods. Results show that certain bootstrapped procedures improve upon the performance of the corresponding asymptotic tests, and statistical tests have in general a better performance than IC methods.