Detecting seasonal unit roots in a structural time series model
Journal of Applied Statistics p. 373- 387
In this paper, we propose to detect seasonal unit roots within the context of a structural time series model. Such a model is often found to be useful in practice. Using Monte Carlo simulations, we show that our method works well. We illustrate our approach for several quarterly macroeconomic time series variables.
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|Journal of Applied Statistics|
|Organisation||Erasmus School of Economics|
Franses, Ph.H.B.F, & Kawasaki, Y. (2003). Detecting seasonal unit roots in a structural time series model. Journal of Applied Statistics, 373–387. Retrieved from http://hdl.handle.net/1765/2165