The power of the Granger and Lee (1989) model of asymmetry is examined via bootstrap simulation. The results of the bootstrap simulation indicate that the Granger and Lee model has low power in rejecting the null hypothesis of symmetric adjustments. The power of the test depends on the bootstrap sample size, difference in adjustment speeds and the amount of noise in the data generating process used in the application. With a small bootstrap sample and large noise level the Granger and Lee model display low power in rejecting the null hypothesis of symmetry
This paper uses Monte Carlo methods to investigate the effects of asymmetric adjustment on estimates...
This paper uses Monte Carlo methods to investigate the effects of asymmetric adjustment on estimates...
This paper uses Monte Carlo methods to investigate the effects of asymmetric adjustment on estimates...
In this paper, I investigate the power of the Granger and Lee model of asymmetry via bootstrap and M...
This paper introduces and applies the bootstrap method to compare the power of the test for asymmetr...
The power of the conventional Houck’s model of asymmetry is examined via parametric bootstrap simu...
The properties of the Granger-Lee (Journal of Applied Econometrics, 4, S145–59, 1989) asymmetric err...
The power of the Houck's model of asymmetry is examined via bootstrap and Monte Carlo techniques. Th...
The now familiar error correction model has recently been extended to allow for the modelling of asy...
The consistent threshold estimation method is used to improve the threshold specification of the Gra...
This paper considers tests for symmetry of the one-dimensional marginal distribution of fractionally...
In the classical linear regression model the problem of testing for symmetry of the error distributi...
An Engle-Granger two-step procedure is commonly used to estimate cointegrating vectors and consequen...
This paper uses Monte Carlo methods to investigate the effects of asymmetric adjustment on estimates...
This paper uses Monte Carlo methods to investigate the effects of asymmetric adjustment on estimates...
This paper uses Monte Carlo methods to investigate the effects of asymmetric adjustment on estimates...
This paper uses Monte Carlo methods to investigate the effects of asymmetric adjustment on estimates...
This paper uses Monte Carlo methods to investigate the effects of asymmetric adjustment on estimates...
In this paper, I investigate the power of the Granger and Lee model of asymmetry via bootstrap and M...
This paper introduces and applies the bootstrap method to compare the power of the test for asymmetr...
The power of the conventional Houck’s model of asymmetry is examined via parametric bootstrap simu...
The properties of the Granger-Lee (Journal of Applied Econometrics, 4, S145–59, 1989) asymmetric err...
The power of the Houck's model of asymmetry is examined via bootstrap and Monte Carlo techniques. Th...
The now familiar error correction model has recently been extended to allow for the modelling of asy...
The consistent threshold estimation method is used to improve the threshold specification of the Gra...
This paper considers tests for symmetry of the one-dimensional marginal distribution of fractionally...
In the classical linear regression model the problem of testing for symmetry of the error distributi...
An Engle-Granger two-step procedure is commonly used to estimate cointegrating vectors and consequen...
This paper uses Monte Carlo methods to investigate the effects of asymmetric adjustment on estimates...
This paper uses Monte Carlo methods to investigate the effects of asymmetric adjustment on estimates...
This paper uses Monte Carlo methods to investigate the effects of asymmetric adjustment on estimates...
This paper uses Monte Carlo methods to investigate the effects of asymmetric adjustment on estimates...
This paper uses Monte Carlo methods to investigate the effects of asymmetric adjustment on estimates...