We introduce a frequency domain version of the EM algorithm for general dynamic factor models. We consider both AR and ARMA processes, for which we develop iterative indirect inference procedures analogous to the algorithms in Hannan (1969). Although our proposed procedure allows researchers to...

We generalise the spectral EM algorithm for dynamic factor models in Fiorentini, Galesi and Sentana (2014) to bifactor models with pervasive global factors complemented by regional ones. We exploit the sparsity of the loading matrices so that researchers can estimate those models by maximum...

We generalise the spectral EM algorithm for dynamic factor models in Fiorentini, Galesi and Sentana (2014) to bifactor models with pervasive global factors complemented by regional ones. We exploit the sparsity of the loading matrices so that researchers can estimate those models by maximum...

Generalizamos el algoritmo EM espectral para modelos factoriales dinámicos de Fiorentini, Galesi y Sentana (2014) a modelos bifactoriales con factores tanto globales como regionales. Aprovechamos la raleza de las matrices de coefi cientes de manera que se puedan estimar dichos modelos por...

Realizamos dos contribuciones complementarias para estimar eficientemente modelos factoriales dinámicos: un algoritmo EM espectral y un procedimiento de inferencia indirecta iterada rapidísimo para modelos ARMA sin pérdida de eficiencia asintótica para cualquier número finito de...