Estimating Dynamic Models Using Kalman Filtering

To do this the model must be set up in state space form. This article shows how various models of interest can be set up in that form.

Models considered are Auto Regressive-Moving Average (ARMA) models with measurement error and dynamic factor models. The filter is used to estimate models of presidential approval. A test of rational expectations in approval shows the hypothesis not to hold.