Consistency of the MLE for jump Markov autoregressive systems

An autoregressive process with Markov regime is an autoregressive process for which the regression function at each time-point is given by a (non-observable) Markov chain. We examine maximum-likelihood estimation for such models and show consistency of a conditional MLE. Also identifiability issues are discussed.