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| Detailed information |
| Original study plan |
Master's programme Economic and Business Analytics 2023W |
| Objectives |
The course's goal is to provide students with an understanding of advanced econometric models and to enable them to deal with empirical 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 |
Exam, Seminar paper
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| Methods |
Lecture, 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 CS and IC Empirical Economics before this course or to be familiar with the contents of these.
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