Each of the following modules grants 6 ECTS.
Modules in the summer semester
- Advanced Time Series Analysis: provides a practical introduction to time series analysis, emphasizing Bayesian methods, dynamic models, and implementation through coding and statistical software.
- Introduction to Computational Statistic and Data Analysis: provides a wide-ranging overview of different areas of this field and for some topics a deep discussion of theory and practical usage
- Microeconometrics A: Causal Inference & Advanced Techniques: provides advanced econometric techniques for analyzing causal relationships, including instrumental variables and regression discontinuities, with practical application in Stata and critical evaluation of scientific papers
- Microeconometrics B: Limited Dependent Variables and Sample Selection: covers advanced econometric models and methods like binary outcome models and corner solution models
Modules in the winter semester
- Behavioral Measurement: deals with empirical methods measuring individual economic characteristics, preferences, and beliefs, thereby making them subject to an explicit empirical analysis
- Computational Statistics and Data Analysis: provides a wide-ranging overview of different areas of this field and for some topics a deep discussion of theory and practical usage
- Econometric Analysis of Microdata: reviews empirical methods and applications in the field of labor economics