- Statistical probability theory and mathematics
- Simple and multivariable models for linear regression analysis
- Models for simultaneous equations
- Estimations with time series data
- Models for panel data
- Models for quantitative variables
- Hypothesis testing, prediction and model adaptation
An important part in the course is empirical application of the theoretical skills in the form of computer-based laboratory sessions.