This paper provides a simulated moments estimator (SME) of the paramet
ers of dynamic models in which the state vector follows a time-homogen
eous Markov process. Conditions are provided for both weak and strong
consistency as well as asymptotic normality. Various tradeoffs among t
he regularity conditions underlying the large sample properties of the
SME are discussed in the context of an asset-pricing model.