Abstract
The aim of this paper is to show the effect of seasonality on the perfor-
mance of traditional information criteria (such as Akaike, Schwarz, Shibata,
and Quinn), used for determining the order of vector autoregressive (VAR)
models. Using a simulation study, we find that the performances of these
criteria decrease in seasonal VAR (SVAR) models.