In this paper we propose a modified quasi-likelihood ratio test of the null hypothesis of one regime against the alternative of two regimes in Markov regime-switching models. The asymptotic distribution of the proposed test statistic is a simple function of Gaussian random variables, and the inference is no more complicated than in the standard case. Our simulations show that the proposed test has good finite sample size and power that are comparable to the quasi-likelihood ratio test of Cho and White. We apply our test to stock returns and Japanese policy functions
This paper develops tests of the null hypothesis of linearity in the context of autoregressive model...
The statistical properties of the likelihood ratio test statistic (LRTS) for autoregressive regime-s...
When testing for Markov switching in mean or intercept of an autoregressive process, it is important...
In this paper, we propose a modified quasi-likelihood ratio test of the null hypothesis of one regim...
We analyze use of a quasi-likelihood ratio statistic for a mixture model to test the null hypothesis...
In Cho and White (2007) "Testing for Regime Switching" the authors obtain the asymptotic null distri...
Markov regime switching models are widely considered in economics and \u85nance. Although there have...
Testing for regime switching when the regime switching probabilities are specified either as constan...
An autoregressive model with Markov regime-switching is analyzed that reflects on the properties of ...
Empirical research with Markov regime-switching models often requires the researcher not only to est...
We propose a new test for the stability of parameters in a Markov switching model where regime chang...
A theory of testing under non-standard conditions is developed. By viewing the likelihood as a funct...
In this work we consider multivariate autoregressions subject to Markovian changes in regime. Estima...
In this thesis, we are mainly concerned with the basic methodological issue to test for regime switc...
This paper develops a method for quantitatively and qualitatively assessing the adequacy of the norm...
This paper develops tests of the null hypothesis of linearity in the context of autoregressive model...
The statistical properties of the likelihood ratio test statistic (LRTS) for autoregressive regime-s...
When testing for Markov switching in mean or intercept of an autoregressive process, it is important...
In this paper, we propose a modified quasi-likelihood ratio test of the null hypothesis of one regim...
We analyze use of a quasi-likelihood ratio statistic for a mixture model to test the null hypothesis...
In Cho and White (2007) "Testing for Regime Switching" the authors obtain the asymptotic null distri...
Markov regime switching models are widely considered in economics and \u85nance. Although there have...
Testing for regime switching when the regime switching probabilities are specified either as constan...
An autoregressive model with Markov regime-switching is analyzed that reflects on the properties of ...
Empirical research with Markov regime-switching models often requires the researcher not only to est...
We propose a new test for the stability of parameters in a Markov switching model where regime chang...
A theory of testing under non-standard conditions is developed. By viewing the likelihood as a funct...
In this work we consider multivariate autoregressions subject to Markovian changes in regime. Estima...
In this thesis, we are mainly concerned with the basic methodological issue to test for regime switc...
This paper develops a method for quantitatively and qualitatively assessing the adequacy of the norm...
This paper develops tests of the null hypothesis of linearity in the context of autoregressive model...
The statistical properties of the likelihood ratio test statistic (LRTS) for autoregressive regime-s...
When testing for Markov switching in mean or intercept of an autoregressive process, it is important...