Introduction to Data Handling with SAS

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Stefan Seth, Research Data Centre (FDZ) of the Federal Employment Agency (BA) at the Institute for Employment Research (IAB)

Date: Thursday, 13/09/18 (09.00–18.00 h)

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English


SAS is a statistical program package widely used in banks, insurance companies, and the pharmaceutical industry, so everyone who wants to become rich is at the right place in this course. SAS is very expensive if used commercially, however, for academic research, it’s free! As SAS is very fast and does not require the data to be loaded into memory (unlike R or Stata), it is particularly well suited to handle huge amounts of data.

The main focus of the course will be data preparation because this is the comparative advantage of SAS (and of the instructor). Therefore we will address the SAS data step in depth. Participants will learn about some SAS procedures for descriptive analyses, and we will get down to the nitty-gritty of reading and writing raw (non-SAS) data sets. Advanced topics like the SAS macro language or hashes will be covered if there is enough time (so most probably not at all).

Requirement of students: Participants should have installed SAS University Edition on their laptops.

Recommended literature and pre-readings: None.

You have to register for the 12th International Research Workshop to participate in this course.