Simulating small-sample properties of the maximum likelihood cointegration method : estimation and testing
Abstract
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.Download Info
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Article provided by Finnish Economic Association in its journal Finnish Economic Papers.
Volume (Year): 8 (1995)
Issue (Month): 2 (Autumn)
Pages: 96-107
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Related research
Keywords:Find related papers by JEL classification:
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
References
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- John Y. Campbell & Pierre Perron, 1991.
"Pitfalls and Opportunities: What Macroeconomists Should Know About Unit Roots,"
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- 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.
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- 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.
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Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Jacobson, Tor & Larsson, Rolf, 1996.
"Bartlett Corrections in Cointegration Testing,"
Working Paper Series in Economics and Finance
134, Stockholm School of Economics.
- Jacobson, Tor & Larsson, Rolf, 1999. "Bartlett corrections in cointegration testing," Computational Statistics & Data Analysis, Elsevier, vol. 31(2), pages 203-225, August.
- Eriksson , Åsa, 2004. "Testing Structural Hypotheses on Cointegration Vectors: A Monte Carlo Study," Working Papers 2004:29, Lund University, Department of Economics.
- Larsson, Rolf & Villani, Mattias, 2001. "A distance measure between cointegration spaces," Economics Letters, Elsevier, vol. 70(1), pages 21-27, January.
- Annika Alexius, 1997. "Import prices and nominal exchange rates in Sweden," Finnish Economic Papers, Finnish Economic Association, vol. 10(2), pages 99-107, Autumn.
- Richard G. Anderson & Hailong Qian & Robert H. Rasche, 2006. "Analysis of panel vector error correction models using maximum likelihood, the bootstrap, and canonical-correlation estimators," Working Papers 2006-050, Federal Reserve Bank of St. Louis.
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