Maximum likelihood estimation of a generalized star(p; 1p) model

Summary A STAR model is characterized by autoregressive terms lagged both in time and space. The model we call GSTAR presents also contemporaneous spatial correlation. Under the hypothesis of stationarity we derive conditional maximum likelihood estimators of the autoregressive parameters and a consistent estimator of their covariance matrix.