The Uses of Tobit Analysis
指出Tobit模型中的系数（β系数）能提供比通常认识更多的信息，可用于分解变量超过限值的概率变化和已超过限值时因变量值的变化，并量化这种分解。
In this paper authors point out that the coefficients obtained from using Tobit-here called beta coefficients - provide more information than is commonly realized. In particular, authors show that Tobit can be used to determine both changes in the probability of being above the limit and changes in the value of the dependent variable if it is already above the limit$ and authors show that this decomposition can be quantified in rather useful and insightful ways.