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EconStor
Research . 2005
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Identifying structural breaks in cointegrated VAR models

Authors: Håvard Hungnes;

Identifying structural breaks in cointegrated VAR models

Abstract

Abstract: The paper describes a procedure for decomposing the deterministic terms in cointegrated VAR models into growth rate parameters and cointegration mean parameters. These parameters express long-run properties of the model. For example, the growth rate parameters tell us how much to expect (unconditionally) the variables in the system to grow from one period to the next, representing the underlying (steady state) growth in the variables. The procedure can be used for analysing structural breaks when the deterministic terms include shift dummies and broken trends. By decomposing the coefficients into interpretable components, different types of structural breaks can be identified. Both shifts in intercepts and shifts in growth rates, or combinations of these, can be tested for. The ability to distinguish between different types of structural breaks makes the procedure superior compared to alternative procedures. Furthermore, the procedure utilizes the information more efficiently than alternative procedures. Finally, interpretable coefficients of different types of structural breaks can be identified. Keywords: Johansen procedure, cointegrated VAR, structural breaks, growth rates, cointegration mean levels.

Country
Norway
Related Organizations
Keywords

Vector autoregressive, Johansen procedure; cointegrated VAR; structural breaks; growth rates; cointegration mean levels., ddc:330, growth rates, cointegration mean levels., Dynamic economic model, C51, C52, Johansen procedure, Growth rates, VDP::Social science: 200::Economics: 210::Economics: 212, JEL classification: C51, Cointegration mean levels, cointegrated VAR, structural breaks, C32, JEL classification: C32, JEL classification: C52, jel: jel:C52, jel: jel:C51, jel: jel:C32

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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