

Author: CEM KADILAR CENAP ERDEMìR
Publisher: Taylor & Francis Ltd
ISSN: 0094-9655
Source: Journal of Statistical Computation and Simulation, Vol.73, Iss.2, 2002-01, pp. : 135-143
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
Abstract
Seasonal behavior is shown to diminish the performance of the Akaike information criterion (AIC) used for determining the order of vector autoregressive (VAR) models. To solve this problem we modified the AIC for seasonal VAR (SVAR) models, using simulation results to develop the seasonally modified AIC. This proposed AIC performs better than the traditional AIC in SVAR models.
Related content


By Anderson D. R. Burnham K. P. White G. C.
Journal of Applied Statistics, Vol. 25, Iss. 2, 1998-04 ,pp. :




Residual information criterion for single-index model selections
Journal of Nonparametric Statistics, Vol. 16, Iss. 1-2, 2004-02 ,pp. :

