Simulating small-sample properties of the maximum likelihood cointegration method : estimation and testing
This paper analyzes - using Monte Carlo simulation - small-sample properties of the maximum likelihood cointegration method for estimation and inference in cointegrated systems. The simulations of a bivariate system concentrate on the following; the estimator of the cointegrating vector; the trace test for determining cointegrating rank, and the likelihood ratio and Wald tests for linear restrictions on the cointegrating vector: Furthermore, we introduce autoregressive conditional heteroscedasticity, as well as multivariate non-normality in the form of excess skewness and kurtosis, in the error process. All in all, the results suggest that the maximum likelihood method displays desirable features as long as the samples are of reasonable sizes.
Volume (Year): 8 (1995)
Issue (Month): 2 (Autumn)
|Contact details of provider:|| Web page: http://www.taloustieteellinenyhdistys.fi|
More information through EDIRC
References listed on IDEAS
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.:
- John Y. Campbell & Pierre Perron, 1991.
"Pitfalls and Opportunities: What Macroeconomists Should Know About Unit Roots,"
in: NBER Macroeconomics Annual 1991, Volume 6, pages 141-220
National Bureau of Economic Research, Inc.
- Campbell, J.Y. & Perron, P., 1991. "Pitfalls and Opportunities: What Macroeconomics should know about unit roots," Papers 360, Princeton, Department of Economics - Econometric Research Program.
- Campbell, John & Perron, Pierre, 1991. "Pitfalls and Opportunities: What Macroeconomists Should Know about Unit Roots," Scholarly Articles 3374863, Harvard University Department of Economics.
- John Y. Campbell & Pierre Perron, 1991. "Pitfalls and Opportunities: What Macroeconomists Should Know About Unit Roots," NBER Technical Working Papers 0100, National Bureau of Economic Research, Inc.
- Cheung, Yin-Wong & Lai, Kon S, 1993. "Finite-Sample Sizes of Johansen's Likelihood Ration Tests for Conintegration," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 55(3), pages 313-28, August.
- Allen Fleishman, 1978. "A method for simulating non-normal distributions," Psychometrika, Springer;The Psychometric Society, vol. 43(4), pages 521-532, December.
- Johansen, Soren, 1992. "Cointegration in partial systems and the efficiency of single-equation analysis," Journal of Econometrics, Elsevier, vol. 52(3), pages 389-402, June.
- Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
- Banerjee, Anindya, et al, 1986. "Exploring Equilibrium Relationships in Econometrics through Static Models: Some Monte Carlo Evidence," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 48(3), pages 253-77, August.
- Jarque, Carlos M. & Bera, Anil K., 1980. "Efficient tests for normality, homoscedasticity and serial independence of regression residuals," Economics Letters, Elsevier, vol. 6(3), pages 255-259.
When requesting a correction, please mention this item's handle: RePEc:fep:journl:v:8:y:1995:i:2:p:96-107. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Editorial Secretary)
If references are entirely missing, you can add them using this form.