This research develops a mixture regression model that is shown to have advantages over theclassical Tobit model in model fit and predictive tests when data are generated from a two stepprocess. Additionally, the model is shown to allow for flexibility in distributional assumptions while nesting...

This research develops a mixture regression model that is shown to have advantages over the classical Tobit model in model fit and predictive tests when data are generated from a two step process. Additionally, the model is shown to allow for flexibility in distributional assumptions while...