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

Formats available	Standard duration
e-Learning:	3.5 hours/180 day license	System Requirements

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 Programming 1: Essentials
• have experience using the GLM and REG procedures in SAS/STAT software. You can gain this experience by completing Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression.

Fitting Tobit Models

• introduction to Tobit models
• fitting Tobit models in PROC QLIM

Fitting Truncated and Sample Selection Models

• truncated distribution models
• sample selection models

Additional Resources

• fitting Tobit models in PROC LIFEREG
• references