Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/142770 
Erscheinungsjahr: 
2016
Schriftenreihe/Nr.: 
Economics Discussion Papers No. 2016-33
Verlag: 
Kiel Institute for the World Economy (IfW), Kiel
Zusammenfassung: 
There are a number of econometrics tools to deal with the different type of situations in which cointegration can appear: I(1), I(2), seasonal, polynomial, etc. There are also different kinds of Vector Error Correction models related to these situations. We propose a unified theoretical and practical framework to deal with many of these situations. To this aim: (i) a general class of models is introduced in this paper and (ii) an automatic method to identify models, based on estimating the Smith form of an autoregressive model, is provided. Our simulations suggest the power of the new proposed methodology. An empirical example illustrates the methodology.
Schlagwörter: 
time series
unit root
cointegration
error correction
model identification
Smith form
JEL: 
C01
C22
C32
C51
C52
Creative-Commons-Lizenz: 
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Dokumentart: 
Working Paper

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