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.
The e-learning version of this course includes data so that you can practice the software demonstration steps in your own SAS environment.
Learn How To
fit a Tobit model in the QLIM procedure fit a truncated distribution model in the QLIM procedure fit a sample selection model in the QLIM procedure.Who Should Attend
Econometricians, business analysts, biostatisticians, and physical scientists, and social scientists
Prerequisites
Before attending this course, you should;
have experience creating SAS data sets and using Base SAS procedures. You can gain this experience by completing SAS(R) Programming I: Essentials have experience using the GLM and REG procedures in SAS/STAT software. You can gain this experience by completing Statistics I: Introduction to ANOVA, Regression, and Logistic Regression.SAS Products Covered
None
Course Outline
Fitting Tobit Models
introduction to Tobit modelsfitting Tobit models in PROC QLIMFitting Truncated and Sample Selection Modelstruncated distribution modelssample selection modelsAdditional Resourcesfitting Tobit models in PROC LIFEREGreferences
