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The Ardl Bounds Cointegration Test: Tips for Application and Pretesting

Authors: Alvaro Montenegro;

The Ardl Bounds Cointegration Test: Tips for Application and Pretesting

Abstract

The ARDL bounds test of Pesaran, Shin and Smith (2001) has become an important tool for exploring cointegration. However, some pretesting is needed for its valid application: regressor variables should not be integrated of order higher than unity; the dependent variable must be integrated of order one; and that there be at most one cointegrating equilibrium involving the dependent variable, where only the dependent variable, and not the regressors, responds to deviations from this equilibrium.

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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!
1
Average
Average
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