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Detailed information |
Original study plan |
Master's programme Economic and Business Analytics 2021W |
Objectives |
The course's goal is to provide students with an understanding of advanced econometric models and to enable them to deal with empircal work in a critical manner. The course discusses in detail specification, identification, and estimation techniques. The methods taught will provide students with a clear idea on how to undertake their own empirical projects (e.g., Master's thesis) and on how to critically assess empirical research.
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Subject |
Instrumental variables (IV), Randomized controlled trials, Difference-in-differences method, Regression discontinuity method, Matching procedures
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Criteria for evaluation |
Exams, presentations, seminar paper
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Methods |
Exams, presentations, seminar paper
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Language |
English |
Study material |
Angrist and Pischke, Mostly Harmless Econonometrics
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Changing subject? |
No |
Further information |
The Department of Economics recommends to take Econometrics I before this course, or to be familiar with course content of Econometrics I
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