Fitting Tobit and Other Limited Dependent Variable Models
Business Knowledge Series course
Presented by Mike Patetta, Analytical Training Consultant, Education Division, SAS
This course illustrates how to fit Tobit models, truncated models, and sample selection models in the QLIM procedure. Tobit models are censored regression models that are used when the dependent variable has a limited distribution because of censoring. For example, a value of 100 for the dependent variable might mean 100 or less, but we do not know how much less. Tobit models and other limited dependent variable models are used in many fields such as biostatistics, insurance, finance, physical sciences, and econometrics.
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Fitting Tobit Models