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The State-Space Error Correction Model: Simulations and Applications

Authors: Thomas Ribarits; Bernard Hanzon;

The State-Space Error Correction Model: Simulations and Applications

Abstract

In this paper we present a simulation study as well as two applications of a newly proposed approach towards I(1) cointegration using so-called state-space error correction models (SSECMs). SSECMs have been introduced in Ribarits and Hanzon (2014) where questions of model selection, parametrization and maximum likelihood estimation are treated in detail. The present paper shows the potential of this new approach to I (1) cointegration analysis.

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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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