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models have a large number of parameters and, thus, over-parameterization problems may arise. Bayesian methods have become …-varying parameter extensions and show how Bayesian inference proceeds. Apart from the simplest of VARs, Bayesian inference requires the … illustrations. A website provides Matlab code for carrying out Bayesian inference in these models. …
Persistent link: https://www.econbiz.de/10008487526
We develop methods for Bayesian inference in vector error correction models which are subject to a variety of switches … Bayesian model averaging r model selection methods can be used to deal with the high-dimensional model space that results. Our …
Persistent link: https://www.econbiz.de/10009320949
This paper develops stochastic search variable selection (SSVS) for zero-inflated count models which are commonly used in health economics. This allows for either model averaging or model selection in situations with many potential regressors. The proposed techniques are applied to a data set...
Persistent link: https://www.econbiz.de/10008469825
Empirical macroeconomists are increasingly using models (e.g. regressions or Vector Autoregressions) where the parameters vary over time. State space methods are frequently used to specify the evolution of parameters in such models. In any application, there are typically restrictions on the...
Persistent link: https://www.econbiz.de/10005091067
This paper develops methods of Bayesian inference in a cointegrating panel data model. This model involves each cross …
Persistent link: https://www.econbiz.de/10005091075
This paper investigates the evolution of monetary policy in the U.S. using a standard set of macroeconomic variables. Many recent papers have addressed the issue of whether the monetary transmission mechanism has changed (e.g. due to the Fed taking a more aggressive stance against ination) or...
Persistent link: https://www.econbiz.de/10005091085
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/10005091123
develop a reversible jump Markov chain Monte Carlo algorithm that allows us to do Bayesian model averaging. The algorithm is … very flexible and can be easily adapted to analyze any of the different priors that have been proposed in the Bayesian …
Persistent link: https://www.econbiz.de/10008799335
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/10008487518
We analyze the influence of newly constructed globalization measures on regional growth for the EU-27 countries between 2001 and 2006. The spatial Chow-Lin procedure, a method constructed by the authors, was used to construct on a NUTS-2 level a complete regional data for exports, imports and...
Persistent link: https://www.econbiz.de/10009018293