• Title/Summary/Keyword: Gaussian reduced rank estimation

Search Result 2, Processing Time 0.014 seconds

Effects of the Misspecification of Cointegrating Ranks in Seasonal Models

  • Seong, Byeong-Chan;Cho, Sin-Sup;Ahn, Sung-K.;Hwang, S.Y.
    • The Korean Journal of Applied Statistics
    • /
    • v.21 no.5
    • /
    • pp.783-789
    • /
    • 2008
  • We investigate the effects of the misspecification of cointegrating(CI) ranks at other frequencies on the inference of seasonal models at the frequency of interest; our study includes tests for CI ranks and estimation of CI vectors. Earlier studies focused mostly on a single frequency corresponding to one seasonal root at a time, ignoring possible cointegration at the remaining frequencies. We investigate the effects of the mis-specification, especially in finite samples, by adopting Gaussian reduced rank(GRR) estimation by Ahn and Reinsel (1994) that considers cointegration at all frequencies of seasonal unit roots simultaneously. It is observed that the identification of the seasonal CI rank at the frequency of interest is sensitive to the mis-prespecification of the CI ranks at other frequencies, mainly when the CI ranks at the remaining frequencies are underspecified.

Joint Test for Seasonal Cointegrating Ranks

  • Seong, Byeong-Chan;Yi, Yoon-Ju
    • Communications for Statistical Applications and Methods
    • /
    • v.15 no.5
    • /
    • pp.719-726
    • /
    • 2008
  • In this paper we consider a joint test for seasonal cointegrating(CI) ranks that enables us to simultaneously model cointegrated structures across seasonal unit roots in seasonal cointegration. A CI rank test for a single seasonal unit root is constructed and extended to a joint test for multiple seasonal unit roots. Their asymptotic distributions and selected critical values for the joint test are obtained. Through a small Monte Carlo simulation study, we evaluate performances of the tests.