Showing 1 - 10 of 20
A message coming out of the recent Bayesian literature on cointegration is that it is important to elicit a prior on …
Persistent link: https://www.econbiz.de/10009448353
We develop Bayesian techniques for estimation and model comparison in a novel Generalised Stochastic Unit Root (GSTUR …
Persistent link: https://www.econbiz.de/10010270805
Persistent link: https://www.econbiz.de/10013276085
This paper develops methods of Bayesian inference in a cointegrating panel data model. This model involves each cross …
Persistent link: https://www.econbiz.de/10005385058
develop a reversible jump Markov chain Monte Carlo algorithm that allows us to do Bayesian model averaging. The algorithm is … very ?exible and can be easily adapted to analyze any of the di¤erent priors that have been proposed in the Bayesian …
Persistent link: https://www.econbiz.de/10009644005
There are both theoretical and empirical reasons for believing that the parameters of macroeconomic models may vary over time. However, work with time-varying parameter models has largely involved Vector autoregressions (VARs), ignoring cointegration. This is despite the fact that cointegration...
Persistent link: https://www.econbiz.de/10009644008
present methods for Bayesian inference. An application involving US in?ation forecasting illustrates and compares the …
Persistent link: https://www.econbiz.de/10009644011
There are both theoretical and empirical reasons for believing that the parameters of macroeconomic models may vary over time. However, work with time-varying parameter models has largely involved Vector autoregressions (VARs), ignoring cointegration. This is despite the fact that cointegration...
Persistent link: https://www.econbiz.de/10010550779
develop a reversible jump Markov chain Monte Carlo algorithm that allows us to do Bayesian model averaging. The algorithm is … very exible and can be easily adapted to analyze any of the di¤erent priors that have been proposed in the Bayesian …
Persistent link: https://www.econbiz.de/10010552399
This paper develops methods for Stochastic Search Variable Selection (currently popular with regression and Vector Autoregressive models) for Vector Error Correction models where there are many possible restrictions on the cointegration space. We show how this allows the researcher to begin with...
Persistent link: https://www.econbiz.de/10008629508