Panel cointegration testing in the presence of linear time trends

  • We consider a class of panel tests of the null hypothesis of no cointegration and cointegration. All tests under investigation rely on single-equations estimated by least squares, and they may be residual-based or not. We focus on test statistics computed from regressions with intercept only (i.e., without detrending) and with at least one of the regressors (integrated of order 1) being dominated by a linear time trend. In such a setting, often encountered in practice, the limiting distributions and critical values provided for and applied with the situation “with intercept only” are not correct. It is demonstrated that their usage results in size distortions growing with the panel size N. Moreover, we show which are the appropriate distributions, and how correct critical values can be obtained from the literature.

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Author:Uwe HasslerORCiDGND, Mehdi Hosseinkouchack
URN:urn:nbn:de:hebis:30:3-442130
DOI:https://doi.org/10.3390/econometrics4040045
ISSN:2225-1146
Parent Title (German):Econometrics
Publisher:MDPI
Place of publication:Basel
Contributor(s):Katarina Juselius
Document Type:Article
Language:English
Date of Publication (online):2017/06/19
Year of first Publication:2016
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2017/06/19
Tag:integrated series with drift; large N asymptotics; single-equations
Volume:4
Issue:4, Art. 45
Page Number:16
First Page:1
Last Page:16
Note:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
HeBIS-PPN:428710972
Institutes:Wirtschaftswissenschaften / Wirtschaftswissenschaften
Dewey Decimal Classification:3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft
Sammlungen:Universitätspublikationen
Licence (German):License LogoCreative Commons - Namensnennung 4.0