In this course, students learn about:

• Concept and application of correlations (using OLS)
• Methods of causal inference
  • Difference-in-Differences Design (A-B Testing)
  • Instrumental Variable Regression
  • Regression Discontinuity Design
• Learning and presenting scientific papers applying these methods

• Differentiate between correlation and causality
• Read and interpret modern applied economics (finance) research
  • Interpret regression outputs
  • Evaluate and criticize such papers
• Learn the methods to analyze large datasets and how to interpret the results

Students collect (bonus) points for class participation in various ways, which will be part of the final grade. Attendance is not strictly mandatory, but due to the tight schedule of the course, it’s highly encouraged to attend each class.

1. Lecture content
   • 4-hour lecture sessions (October 1, October 8, October 15, Ocober 22, October 29; afternoon)
   • Lecture exam (90 minutes); November 13; morning
   • Active participation is expected (and graded)
2. Presentations
   • Students present papers relevant to the past weeks lectures at the beginning of the class
   • In groups of 2 or 3
   • Each student has to present twice

• Class Participation: 15 points
• Exam: 50 points
• In-class Presentation: 40 points (20 each)

Please log in with your WU account to use all functionalities of read!t. For off-campus access to our licensed electronic resources, remember to activate your VPN connection connection. In case you encounter any technical problems or have questions regarding read!t, please feel free to contact the library at readinglists@wu.ac.at.