Stability of Long-Run Relationships for Countries in Transition: A Hansen Test Study
AbstractThe results of a Monte Carlo research for the Hansen Lc, MeanF and SupF stability tests for long-run relationships are reported. The tests are related to the Phillips-Hansen and Hansen semiparametric methods, which involve kernel density estimation of the long-run covariance matrix. We compare the effect of the choice of kernel on the performance of the tests, and also check the effect of misspecification of the model (lags for the disturbances) on the behaviour of test statistics, and behaviour of percentiles. The results indicate that the best â both in terms of efficiency and robustness to misspecification error â is the Parzen kernel.
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Bibliographic InfoPaper provided by Department of Economics, University of Leicester in its series Ace Project Memoranda with number 96/4.
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- Ewa Syczewska, 2011. "Stability of Long-run Relationships for Countries in Transition: A Hansen Test Study," Working Papers 58, Department of Applied Econometrics, Warsaw School of Economics.
- C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
- C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C46 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Specific Distributions
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