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Root number
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11979 |
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Semester
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FS2025 |
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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 |
*** IMPORTANT ***
For the most updated administrative course information (date changes, room changes etc) please always refer to the KSL page only and not to the Info page in ILIAS – the ILIAS infopage will not be updated!
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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, 26 May 2025, 14.15 - 15.45, 105, H4
2nd exam : Monday, 08 September 2025, 14 :15 – 15:45h, tba |
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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 8/9/2025 14:15-15:45
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| Rooms |
Seminarraum 105, Hauptgebäude H4
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| Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |
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