Workshop in Causal Analysis
| Dozent/in |
Prof. Dr. Lukas D. Schmid |
| Veranstaltungsart |
Vorlesung |
| Code |
FS221501 |
| Semester |
Frühjahrssemester 2022 |
| Durchführender Fachbereich |
Wirtschaftswissenschaften |
| Studienstufe |
Master
Doktorat |
| Termin/e |
Mi, 23.02.2022, 12:15 - 14:00 Uhr, HS 12
Mo, 25.04.2022, 15:15 - 18:00 Uhr, HS 2
Mi, 27.04.2022, 09:15 - 12:00 Uhr, HS 12 |
| Umfang |
2 Semesterwochenstunden |
| Turnus |
blocked dates |
| Inhalt |
This workshop covers current approaches and estimation techniques in causal analysis. These methods are relevant for academics and practitioners as well as for economists, managers, and social scientists. Students will work on one specific topic and discuss it in class. After the workshop, you should know more about the recent developments in causal analysis and how you can apply those to your specific research or policy question. The workshop builds on the lecture “Causal Analysis” and covers instrumental variables, differences-in-differences, regression discontinuity designs, and synthetic control methods. |
| Lernziele |
1. Learn how to acquire knowledge about current approaches
2. Define the assumptions required to make causal claims when using current ap-proachess
3. Learn to critically evaluate existing empirical studies
4. Present your results in class |
| Voraussetzungen |
Causal Analysis |
| Sprache |
Englisch |
| Begrenzung |
20 |
| Anmeldung |
To attend the course / exercise, registration via e-learning platform OLAT is required. Registration is possible from 7 February to 4 March 2022. The students themselves are responsible for checking the creditability of the course to their course of study. Direct link to OLAT course: https://lms.uzh.ch/url/repositoryentry/17168236790 |
| Leistungsnachweis |
***IMPORTANT*** In order to acquire credits, resp. to take the examination, registration via the Uni Portal within 7.2. - 23.2.2022 is ESSENTIALLY REQUIRED. Further information on registration: www.unilu.ch/wf/pruefungen |
| Abschlussform / Credits |
Presentation / 3 Credits
|
| Hörer-/innen |
Nach Vereinbarung |
| Kontakt |
lukas.schmid@unilu.ch |
| Anzahl Anmeldungen |
7 von maximal 20 |
Daten werden verarbeitet...