Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5095533 | Journal of Econometrics | 2016 | 8 Pages |
Abstract
This paper is concerned with the structure of multivariate AR and ARMA systems. The emphasis is on two “non-standard” cases: We deal with the structure of singular AR and ARMA systems which generate singular spectral densities and with identifiability of ARMA systems from mixed frequency data. In the mixed frequency case we show that, for the case where the MA order is smaller than or equal to the AR order, identifiability can be achieved generically. Furthermore, we demonstrate that for a pure MA system identifiability cannot be achieved. The paper generalizes the results obtained in Anderson et al. (2015) for the AR case.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Brian D.O. Anderson, Manfred Deistler, Elisabeth Felsenstein, Lukas Koelbl,