Seminar on Machine Learning in Econometrics (master)
Kick-off meeting at the beginning of the semester;
Final presentation: tbd
Term paper submission:
Tutor: Daniel Wilhelm (d.wilhelm@lmu.de)
Teaching content:This seminar discusses machine learning methods in econometrics and empirical work in economics. The focus is on the methodological contribution of papers, but will also discuss applications. Topics will include:
1. classification
2. text analysis
3. treatment effect estimation with high-dimensional heterogeneity
4. network data
5. policy learning
Requisites: Master-level econometrics and basic statistics, probability concepts
Audience: PhD and Master students in statistics and economics
Evaluation and credits:After the kick-off meeting, students choose a paper, then present the paper at the end of the semester. For 3 ECTS this suffices. Students can also register for 9 ECTS, but then also need to write a term paper, to be submitted after the presentation. To acquire 12 ECTS credits students from the Master of Science in Economics have to write a term paper and have a presentation; the 3 ECTS- and 9 ECTS-option is not open to them.