In this paper we propose a method for determining the number of regimes in threshold autoregressive models using smooth transition autoregression as a tool. As the smooth transition model is just an approximation to the threshold autoregressive one, no asymptotic properties are claimed for the...

In this paper we derive tests for parameter constancy when the data generating process is non-stationary against the hypothesis that the parameters of the model change smoothly over time. To obtain the asymptotic distributions of the tests we generalize many theoretical results, as well as new...

The constant conditional correlation GARCH model is probably the most frequently applied multivariate GARCH model. In this paper we consider an extension to this model and examine its fourth-moment structure. The extension, first considered by Jeantheau (1998), is motivated by the result found...

We performed a cross-sectional, "bottom-up" observational study of resource consumption and quality of life of patients with multiple sclerosis (MS) in the United Kingdom. Three centers participated in the study. Patients received a questionnaire either by mail or during a clinic visit, and a...

We performed a cross-sectional, "bottom-up" observational study of resource consumption and quality of life of patients with multiple sclerosis (MS) in Germany. Six centers participated in the study. Patients were asked to complete a questionnaire, and a total of 737 patients returned the...

OBJECTIVE: This article examines whether there are differences in men's and women's use of the Internet and whether any such gender gaps have changed in recent years. METHODS: We use data from several surveys during the period 1997 to 2001 to show trends in Internet usage and to estimate...

This paper contains a Lagrange multiplier test of the hypothesis that the covariance matrix of a multivariate time series model is constant over time. It is further assumed that under the alternative, the error variances are time-varying whereas the correlation remain constant over time. Under...