A simple GLS procedure for seasonal cointegration

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초록

I introduce a simple generalized least squares procedure for seasonal cointegration that enables us to estimate the seasonal vector error correction model with its standard errors and to determine seasonal cointegrating ranks. The procedure can be easily implemented in comparison with the maximum likelihood method because all the computations are based on closed form expressions. I conduct Monte Carlo experiments to evaluate the proposed procedure and present an empirical example to illustrate the procedure. (C) 2015 The Korean Statistical Society. Published by Elsevier B.V. All rights reserved.

키워드

Seasonal error correction model; Seasonal unit root; Seasonal cointegrating rank
제목
A simple GLS procedure for seasonal cointegration
저자
Seong, Byeongchan
DOI
10.1016/j.jkss.2015.03.001
발행일
2015-09
유형
Article
저널명
Journal of the Korean Statistical Society
권
44
호
3
페이지
469 ~ 476