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Root number
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11979 |
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Semester
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FS2024 |
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Type of course
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Lecture |
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Allocation to subject
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Economics |
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Type of exam
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not defined |
| Title |
Causal Analysis |
| Description |
In this course, we study econometric methods for identifying and estimating causal effects. We first present the potential outcomes approach as a general framework to examine such effects. We discuss randomized experiments as the predominant way for establishing causality, and then move on to observational studies and explore various types of assumptions that allow for credible causal inference. Examples from the literature and step-by-step tutorials offer hands-on experiences in utilizing the methods. Course language is English.
Readings: Angrist, J.D. and J.S. Pischke (2009) Mostly Harmless Econometrics: An Empiricist's Companion, Princeton University Press
Language: English
Credits: 2 SWS / 3 ECTS
Evaluation: written exam in English
Lecture:
Monday, 14:15 - 16:00h, 105, H4
1st exam: Monday, 03. June 2024, 14.15 - 15.45, 205, H4
2nd exam : Monday, 9 September 2024, 14 :15 – 15:45h, 120, H4 |
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ILIAS-Link (Learning resource for course)
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No registration/deregistration in CTS (Admission in ILIAS possible).
ILIAS
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Link to another web site
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| Lecturers |
Prof. Dr.
Blaise Stéphane Melly, Department of Economics ✉
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Prof. Dr.
Michael Gerfin, Department of Economics ✉
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ECTS
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3 |
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Recognition as optional course possible
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No |
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Grading
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1 to 6 |
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| Dates |
Monday 14:15-16:00 Weekly
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Monday 3/6/2024 14:15-15:45
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Monday 9/9/2024 14:15-15:45
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| Rooms |
Seminarraum 105, Hauptgebäude H4
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| External rooms |
120, H4
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205, H4
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| Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |
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