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BACE : A gretl Package for Model Averaging in Bounded Dependent Variable Models
This study presents a fast and consistent software package called BACE (i.e., Bayesian averaging of classical estimates) that offers a model-building strategy for various bounded dependent variable models, including – logit and probit models, ordered logit and pro-bit models, multinomial logistic regression, Poisson re...