We discuss the local level model. First, we use simulated time series to apply the Kalman Filter. Then, we discuss the properties of the Maximum Likelihood Estimator (MLE) in a small Monte Carlo simulation exercise in estimating the signa-to-noise ratio. Within this framework, we will also analyze the pile-up problem of the MLE results.
