Bayesian model selection of structural explanatory models.
Bahar Dadashova, Blanca Arenas Ramírez, José Manuel Mira McWilliams, Francisco Aparicio Izquierdo · Hispana · 2014
In this study we are proposing a Bayesian model selection methodology, where the best model from the list of candidate structural explanatory models is selected. The model structure is based on the Zellner's (1971)explanatory model with autoregressive errors. For the selection technique we are using a parsimonious model, where the model variables are transformed using Box and Cox (1964) class of transformations.