Showing 1 - 10 of 12
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
We develop methods for Bayesian inference in vector error correction models which are subject to a variety of switches … Bayesian model averaging or model selection methods can be used to deal with the high-dimensional model space that results. Our …
Persistent link: https://www.econbiz.de/10009145710
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 a Bayesian spike and slab model for zero-inflated count models which are commonly used in health …
Persistent link: https://www.econbiz.de/10010698288
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/10010550784
We develop methods for Bayesian inference in vector error correction models which are subject to a variety of switches … Bayesian model averaging or model selection methods can be used to deal with the high-dimensional model space that results. Our …
Persistent link: https://www.econbiz.de/10010550819
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/10010550824
We develop methods for Bayesian inference in vector error correction models which are subject to a variety of switches … Bayesian model averaging or model selection methods can be used to deal with the high-dimensional model space that results. Our …
Persistent link: https://www.econbiz.de/10010565733
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
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/10008496448