Provide students with the basics of the statistical and econometric treatment of data using SAS, from the statistical description of the sample, the detection of outliers to the implementation of estimation techniques for linear and non-linear models.
Course outline :
1. Introduction to SAS : importing and managing data – proc import, proc contents, proc format, proc sort, proc surveyselect and introduction to SAS macro functions.
2. Describing the data : descriptive statistics with SAS – proc means, proc univariate, proc freq, proc tabulate, proc gplot.
3. Estimating and testing linear models : proc reg, proc glm, proc model, proc panel.
4. Estimating and testing non linear models : proc logistic, proc probit, proc model, proc genmod, proc nlmixed.