Courses
- Field Experiments in Economics. Levels: Msc./Ph.D. (2015/2016, 2017, 2018, 2020/2021, 2022, 2022/2023)
- Econometrics. Levels: Bsc/Msc. (2014, 2015, 2016, 2017, 2018/2019, 2019/2020, 2020/2021, 2023, 2024)
- Introduction to Causal Machine Learning. Levels: Msc. (2023/2024)
- Statistical Power Analysis. Levels: Ph.D. (2019, 2022, 2024)
- Behavioral Economics. Levels: Msc. (2016/2017)
Course Materials
Handout: Field Experiments in Economics
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Handout: Statistical Power Analysis
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Handout:
Introduction to Causal Machine Learning
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Econometrics (2016, 2017, 2018/2019, 2019/2020, 2020/2021, 2023, 2024)
Here is the syllabus 2024, syllabus 2025
Statistical Power Analysis (2024):
MAGKS/GSEBGo Phd course, Kassel
Field Experiments in Economics (2023/2024): MAGKS/GSEBGo Phd course, Kassel
Introduction to Causal Machine Learning (2023/2024)
Here is the handout.
Field Experiments in Economics (2015/2016, 2017, 2018, 2020/2021, 2022, 2022/2023)
Statistical Power Analysis (2022): Summer Academy on „Innovation, Digitalization and Sustainability", Jena
Here is the handout
Power Analysis (2019): GSEBGo, Kassel
Here is the syllabus 2019.
Behavioral Economics (2016/2017)
Here is the handout
Experimental Economics: Methods and Perspectives (2014)
Empirical Methods - Econometrics (2013/14)
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Here is the course handout.
Please install R on your laptop since we will use it for the most of the exercises. You can find links on documentation for R on the homepage of the course. In the class I use RStudio as a front end and I would recommend you to install it too - it greatly simplifies work flow in R. |
Course Material
| Exercises_2_8_3.rar |
| Exercises_2_8_4-7h.rar |
| Exercises_2_8_7-9.rar |
| Exercises_3_11_2.rar |
| Exercises_3_11_5-7.rar |
| Exercises_3_11_8-lin.rar |
| Exercises_3_11_9-11a.rar |
| Exercises_3_11_11bc-12.rar |
| Exercises_4_12_3-11.rar |
| Exercises_4_14ab.rar |
| Exercises_4_jointh_modelspec.rar |
| Exercises_5_4_2-7.rar |
| Exercises_5_4_14-15.rar |
