| Dozent/in |
Prof. Dr. Lukas D. Schmid |
| Veranstaltungsart |
Vorlesung |
| Code |
HS221207 |
| Semester |
Herbstsemester 2022 |
| Durchführender Fachbereich |
Wirtschaftswissenschaften |
| Studienstufe |
Master |
| Termin/e |
Do, 22.09.2022, 10:15 - 12:00 Uhr, 3.B58
Do, 29.09.2022, 10:15 - 12:00 Uhr, 3.B58
Do, 06.10.2022, 10:15 - 12:00 Uhr, 3.B58
Do, 13.10.2022, 10:15 - 12:00 Uhr, 3.B58
Do, 20.10.2022, 10:15 - 12:00 Uhr, 3.B58
Do, 27.10.2022, 10:15 - 12:00 Uhr, 3.B58
Do, 10.11.2022, 10:15 - 12:00 Uhr, 3.B58
Do, 17.11.2022, 10:15 - 12:00 Uhr, 3.B58
Do, 24.11.2022, 10:15 - 12:00 Uhr, 3.B58
Do, 01.12.2022, 10:15 - 12:00 Uhr, 3.B58
Do, 15.12.2022, 10:15 - 12:00 Uhr, 3.B58
Fr, 06.01.2023, 10:15 - 11:45 Uhr, HS 1 (Prüfung) |
| Umfang |
2 Semesterwochenstunden |
| Turnus |
weekly
|
| Inhalt |
This course provides an introduction to causal inference. We will primarily be concerned with how and when we can make causal claims from empirical research. In the lecture, we will discuss statistical techniques and the necessary assumptions to make causal statements. In the tutorials, we will learn these techniques by actually implementing them and discussing the plausibility of the assumptions. After this class, you should understand and be able to apply the standard set of causal inference tools in the social sciences. These include randomized experiments, matching, instrumental variables, regression discontinuity designs, fixed effects regressions, and differences-in-differences. |
| Lernziele |
1. Understand the concept of causation
2. Make distinctions between observational and experimental studies
3. Define the assumptions required to make causal claims from quantitative data
4. Implement a range of statistical methods which aim to estimate causal effects
5. Use the R statistical software in applied research
6. Critically evaluate the use of causal inference designs used in published work |
| Voraussetzungen |
Introduction to of statistics and introduction to econometrics.
|
| Sprache |
Englisch |
| Anmeldung |
To attend the course / exercise, registration via e-learning platform OLAT is required. Registration is possible from 5 – 30 September 2022. The students themselves are responsible for checking the creditability of the course to their course of study. |
| Prüfung |
***IMPORTANT*** In order to acquire credits, resp. to take part in the examination, registration via the UniPortal within the examination registration period is REQUIRED. Further information on registration for the examination: www.unilu.ch/wf/pruefungen |
| Abschlussform / Credits |
Written exmination / 6 Credits (für Modul Causal Analysis (Vorlesung und Übung))
|
| Hörer-/innen |
Ja |
| Kontakt |
lukas.schmid@unilu.ch |