  This paper deals with the estimation of the hidden factor in Dynamic
Generalized Factor Analysis via a generalization of Kalman filtering.
Asymptotic consistency is discussed and it is shown that the Kalman one-step
predictor is not the right tool while the pure filter yields a consistent
estimate.
