Bootstrap Tests for Fractional Cointegration: A Reappraisal of the Relationship Between Government Popularity and Economic Performance in the UK
AbstractThe paper proposes a new model of fractional cointegration, and considers methods for testing the existence of cointegrating relationships using the parametric bootstrap. In these procedures, ARFIMA time series models fitted to the data, with resampled residuals, are used to simulate the null hypothesis of non-cointegration. The simulations are used to determine p-values for alternative test statistics, including the F goodness-of-fit statistic, the Durbin-Watson, and estimates of the residual d. The tests are applied to the hypothesis that UK government support, shown in previous work to be a nonstationary fractional process, is not explained by indicators of economic performance. The power properties of the tests are studied by simulations of artificial cointegrating relationships based on the sample data. The tests based solely on the regression residuals, which are shown to be inconsistent for nonstationary alternatives, perform poorly relative to the test based on the F statistic.
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.
Bibliographic InfoPaper provided by Econometric Society in its series Econometric Society World Congress 2000 Contributed Papers with number 0324.
Date of creation: 01 Aug 2000
Date of revision:
Contact details of provider:
Phone: 1 212 998 3820
Fax: 1 212 995 4487
Web page: http://www.econometricsociety.org/pastmeetings.asp
More information through EDIRC
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.:
- Frey, Bruno S & Schneider, Friedrich, 1978. "A Politico-Economic Model of the United Kingdom," Economic Journal, Royal Economic Society, vol. 88(350), pages 243-53, June.
- DUFOUR, Jean-Marie, 2005.
"Monte Carlo Tests with Nuisance Parameters: A General Approach to Finite-Sample Inference and Nonstandard Asymptotics,"
Cahiers de recherche
03-2005, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
- Dufour, Jean-Marie, 2006. "Monte Carlo tests with nuisance parameters: A general approach to finite-sample inference and nonstandard asymptotics," Journal of Econometrics, Elsevier, vol. 133(2), pages 443-477, August.
- Jean-Marie Dufour, 2005. "Monte Carlo tests with nuisance parameters: a general approach to finite-sample inference and non-standard asymptotics," CIRANO Working Papers 2005s-02, CIRANO.
- DUFOUR, Jean-Marie, 2005. "Monte Carlo Tests with Nuisance Parameters: A General Approach to Finite-Sample Inference and Nonstandard Asymptotics," Cahiers de recherche 2005-03, Universite de Montreal, Departement de sciences economiques.
- Davidson, James E H, et al, 1978. "Econometric Modelling of the Aggregate Time-Series Relationship between Consumers' Expenditure and Income in the United Kingdom," Economic Journal, Royal Economic Society, vol. 88(352), pages 661-92, December.
- Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-80, November.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F. Baum).
If references are entirely missing, you can add them using this form.