We examine Markov-switching autoregressive models where the commonly used Gaussian assumption for disturbances is replaced with a skew-normal distribution. This allows us to detect regime changes not only in the mean and the variance of a specified time series, but also in its skewness. A...

The book presents a systematic and operational approach to econometric modelling of time series subject to shifts in regime. The first part gives a comprehensive mathematical and statistical analysis of the Markov-switching vector autoregressive model. It deals with the theoretical properties...

We consider cointegration rank estimation for a p-dimensional Fractional Vector Error Correction Model. We propose a new two-step procedure which allows testing for further long-run equilibrium relations with possibly different persistence levels. The first step consists in estimating the...

In this paper we present a new method for estimating genetic parameters of an F2- generation model. Using an iterative algorithm we derive explicit expressions for the Maximum Likelihood estimates of the additive and dominance effects. Finally we calculate the variance covariance matrix of our...