This paper investigates some finite-sample issues that arise in the analysis of Markovswitching autoregressive models with time-varying probabilities. An extensive simulation study is undertaken to examine the small-sample properties of the maximum likelihood estimator and related statistics,...

We use Markov chain methods to develop a flexible class of discrete stochastic autoregressive volatility (DSARV) models. Our approach to formulating the models is straightforward, and readily accommodates features such as volatility asymmetry and time-varying volatility persistence. Moreover, it...

In this paper, we modelled the Colombian long run per capita economic growth (1925- 2005) using a Markov switching regime model with both fixed (FTP) and time-varying transition probabilities (TVTP) to explain regime changes in the economic growth. We found evidence of non-linearity in the per...

In this paper, we modelled the Colombian long run per capita economic growth (1925-2005) using a Markov switching regime model with both fixed (FTP) and time-varying transition probabilities (TVTP) to explain regime changes in the economic growth. We found evidence of non-linearity in the per...

We investigate whether the response of the macro-economy to oil price shocks undergoes episodic changes. Employing a regime-switching vector autoregressive model we identify two regimes that are characterized by qualitatively different patterns in economic activity and inflation following oil...