On the identification of multivariate correlated unobserved components models

Autor: Carsten Trenkler, Weber, Enzo
Jazyk: angličtina
Rok vydání: 2015
Předmět:
Zdroj: MADOC-University of Mannheim
Popis: This paper analyses identification for multivariate unobserved components models in which the innovations to trend and cycle are correlated. We address order and rank criteria as well as potential non-uniqueness of the reduced-form VARMA model. Identification is shown for lag lengths larger than one in case of a diagonal vector autoregressive cycle. We also discuss UC models with common features and with cycles that allow for dynamic spillovers.
Databáze: OpenAIRE