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sophisticated neural network simulation techniques is explored. In all examples considered in this paper – a bimodal distribution of …
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cointegrations. This is despite the fact that cointegration plays an important role in informing macroeconomists on a range of issues …. In this paper we develop a new time varying parameter model which permits cointegration. We use a specification which …-VARs. The properties of our approach are investigated before developing a method of posterior simulation. We use our methods in …
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In this paper, we develop novel Markov chain Monte Carlo sampling methodology for Bayesian Cointegrated Vector Auto Regression (CVAR) models. Here we focus on two novel exten sions to the sampling methodology for the CVAR posterior distribution. The first extension we develop replaces the...
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