30. Juni bis 03. Juli 2026 | Wien

Registration deadline: May 31, 2026

This course will provide participants who have basic skills in statistics and econometrics with an introduction to current core methods used in the analysis of observational, experimental, and quasi-experimental data. The methods covered are widely used in economics and are increasingly also required for good publications in top management journals.

The aim is to cover theory and selected applications, but more importantly to introduce participants to the use of statistical software that will allow them to apply the methods discussed in the course to data.
This course covers important methods used in the multivariate analysis of data. The course revisits basic concepts of the linear regression model and its properties and covers selected advanced topics such as the analysis of duration data and (quasi) experimental designs as well as methods to deal with the problems of endogeneity and sample selection. The theoretical basis of these methods is discussed but the focus of the course is on the application of the methods to data sets. Applications will be studied with the help of data provided by the lecturers and with reference to recent publications.