Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/71243
Authors: 
Kunst, Robert M.
Year of Publication: 
2002
Series/Report no.: 
Reihe Ökonomie / Economics Series, Institut für Höhere Studien (IHS) 121
Abstract: 
Bivariate time series data often show strong relationships between the two components, while both individual variables can be approximated by random walks in the short run and are obviously bounded in the long run. Three model classes are considered for a time-series model selection problem: stable vector autoregressions, cointegrated models, and globally stable threshold models. It is demonstrated how simulated decision maps help in classifying observed time series. The maps process the joint evidence of two test statistics: a canonical root and an LR
Subjects: 
type specification statistic for threshold effects.
JEL: 
C11
C15
C32
Document Type: 
Working Paper

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