Non-causality in VAR-ECM models with purely exogenous long-run paths
AbstractWe propose in this paper a framework based on a canonical representation of the long run matrix, which can constitute a basis for Granger non-causality testing in a VAR-ECM model using asymptotically Chi-square distributed Wald test statistics, and that unlike Giannini and Mosconi (1992), permits to clearly distinguish the nullity of some parameter blocks we can always achieve without any loss of generality, of the nullity of the parameter blocks resulting from the non-causality property. This canonical representation requires to determine the specific rank of a particular sub-matrix, which can be done using sequential test procedure, whose properties are analysed in small and large samples with Monte Carlo experiments.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Elsevier in its journal Economics Letters.
Volume (Year): 66 (2000)
Issue (Month): 1 (January)
Contact details of provider:
Web page: http://www.elsevier.com/locate/ecolet
Other versions of this item:
- Rault, Christophe, 2000. "Non-causality in VAR-ECM models with purely exogeneous long-run paths," Economics Letters, Elsevier, vol. 67(2), pages 121-129, May.
- Rault, C., 1999. "Non-Causality in VAR-ECM Models with Purely Exogeneous Long-Run Paths," Papiers d'Economie MathÃÂ©matique et Applications 1999.44, UniversitÃ© PanthÃ©on-Sorbonne (Paris 1).
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Psaradakis, Zacharias, 1994. "A comparison of tests of linear hypotheses in cointegrated vector autoregressive models," Economics Letters, Elsevier, vol. 45(2), pages 137-144, June.
- Hunter, John, 1992. "Tests of cointegrating exogeneity for PPP and uncovered interest rate parity in the United Kingdom," Journal of Policy Modeling, Elsevier, vol. 14(4), pages 453-463, August.
- Mosconi, Rocco & Giannini, Carlo, 1992. "Non-causality in Cointegrated Systems: Representation Estimation and Testing," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 399-417, August.
- Johansen, Søren & Juselius, Katarina, 1992. "Testing structural hypotheses in a multivariate cointegration analysis of the PPP and the UIP for UK," Journal of Econometrics, Elsevier, vol. 53(1-3), pages 211-244.
- Christophe Rault, 2004.
"Further results on weak-exogeneity in vector error correction models,"
Econometric Society 2004 Far Eastern Meetings
402, Econometric Society.
- Christophe Rault, 2005. "Further Results on Weak-Exogeneity in Vector Error Correction Models," Documents de recherche 05-12, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
- L'Horty, Yannick & Rault, Christophe, 2003. "The Impact of Growth, Labour Cost and Working Time on Employment: Lessons from the French Experience," IZA Discussion Papers 871, Institute for the Study of Labor (IZA).
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wendy Shamier).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.