Showing 1 - 8 of 8
the class of vector autoregressive (VAR) processes. It is applied to two empirical issues. First, stability of the Great …
Persistent link: https://www.econbiz.de/10011255775
This discussion paper resulted in a publication in 'The International Economic Review', 2013, 54(1), 385-402.<P> The empirical support for features of a Dynamic Stochastic General Equilibrium model with two technology shocks is valuated using Bayesian model averaging over vector autoregressions....</p>
Persistent link: https://www.econbiz.de/10011255853
to the Bayes factors being ill-defined. Using careful consideration of the parameter of interest in cointegration … Bayesian comparison of models of cointegration with ‘ignorance’ priors. Using the concept of Stiefel and Grassman manifolds …
Persistent link: https://www.econbiz.de/10005767564
features of a model, such as cointegration, can improve policy analysis as it can improve estimation, inference and forecast … features of the VAR model. The features considered are cointegration, exogeneity, deterministic processes and …
Persistent link: https://www.econbiz.de/10005063701
the class of vector autoregressive (VAR) processes. It is applied to two empirical issues. First, stability of the Great …
Persistent link: https://www.econbiz.de/10005450792
features of a model, such as cointegration, can improve policy analysis as it can improve estimation, inference and forecast … features of the VAR model. The features considered are cointegration, exogeneity, deterministic processes and …
Persistent link: https://www.econbiz.de/10005416697
The empirical support for a real business cycle model with two technology shocks is evaluated using a Bayesian model averaging procedure. This procedure makes use of a finite mixture of many models within the class of
Persistent link: https://www.econbiz.de/10008838546
) processes. The linear VAR model is extendedto permit cointegration, a range of deterministic processes, equilibrium restrictions …
Persistent link: https://www.econbiz.de/10011256713