Causal Analysis

Dozent/in	Rino Luca Heim, MA
Veranstaltungsart	Vorlesung
Code	HS211096
Semester	Herbstsemester 2021
Durchführender Fachbereich	Wirtschaftswissenschaften
Studienstufe	Master
Termin/e	Do, 23.09.2021, 10:15 - 12:00 Uhr, HS 5 Do, 30.09.2021, 10:15 - 12:00 Uhr, HS 5 Do, 07.10.2021, 10:15 - 12:00 Uhr, HS 5 Do, 14.10.2021, 10:15 - 12:00 Uhr, HS 5 Do, 21.10.2021, 10:15 - 12:00 Uhr, HS 5 Do, 28.10.2021, 10:15 - 12:00 Uhr, HS 5 Do, 11.11.2021, 10:15 - 12:00 Uhr, HS 5 Do, 18.11.2021, 10:15 - 12:00 Uhr, HS 5 Do, 25.11.2021, 10:15 - 12:00 Uhr, HS 5 Do, 02.12.2021, 10:15 - 12:00 Uhr, Online Do, 09.12.2021, 10:15 - 12:00 Uhr, Online Fr, 07.01.2022, 10:15 - 11:45 Uhr, HS 9 (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 September 6 to October 1, 2021. 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/17049190568
Leistungsnachweis	***IMPORTANT*** In order to acquire credits, resp. to take the examination, registration via the Uni Portal within the examination registration period is ESSENTIALLY REQUIRED. Further information on registration: www.unilu.ch/wf/pruefungen
Abschlussform / Credits	Written exmination / 3 Credits (für Modul Kolloquialvorlesung Fortgeschrittene Ökonometrie) Written exmination / 6 Credits (für Modul Causal Analysis (Vorlesung und Übung))
Hörer-/innen	Ja
Kontakt	rino.heim@unilu.ch