GEOMAR  Career & Campus  Campus  Studying  MSc: Climate Physics  Course List
UnivIS
Informationssystem der Universität Kiel © Config eG 
Semester: SS 2024 

Causal Inference in Economics (MA) (VWLaemCInf-02a) (030198)

Dozent/in
Prof. Dr. Jens Ruhose

Angaben
Vorlesung, 2 SWS, ECTS-Studium, ECTS-Credits: 6
Praesenzveranstaltung, für ERASMUS-/Austauschstudierende geeignet, Unterrichtssprache Englisch
Zeit und Ort: Di 12:15 - 13:45, WSP1 - R.506
vom 16.4.2024 bis zum 9.7.2024
1. Prüfungstermin (Klausur am Ende der Vorlesungszeit eines Semesters): 24.7.2024, 8:00 - 10:00 Uhr, Raum OHP2 - Otto-Hahn-Hörsaal

Voraussetzungen / Organisatorisches
Module Code: VWLaemCInf-02a
Module Number: 3902501
Exam Number: 3902510
Exam type according to FPO: Module Exam (Modulprüfung)
Specific exam type in summer term 2024: Module examination (100%)

The number of ECTS Credits as well as the admission to the examination for this module is determined by the information regarding this module in the FPO (Examination Regulations) of your program (possibly only in the Appendix of the German version). If this module is not explicitly listed in your FPO, please check at the beginning of the semester about admission options. Typically, admission to the examination of this module is not possible in this case. An overview for all programs which can choose modules of the Institute of Economics can also be found here: Nebenfach Volkswirtschaftslehre – Handbuch für Exportmodule (Minor in Economics - Handbook of Export Modules). You can also check in advance in QIS whether you can find this module listed there in the overview for exam registration, with the exam number mentioned in univis. Registration to the exam is only possible during the registration period. If you still have questions after reviewing these documents, please contact your student advisor (Studienfachberater).

Inhalt
Prerequisites: Econometrics I, Basic microeconomics, Basic macroeconomics

Overview: Students are introduced to modern experimental and quasi-experimental econometric methods for causal analysis. They are able to apply complex econometric models and are able to interpret their results as well as their limitations. They can also develop an empirical strategy for causal identification and can select and apply the appropriate econometric method for a specific research question. In the tutorial of the course, students are introduced to the statistical software Stata and how it can be used to implement the empirical methods.

Course outline:
1. Introduction
2. Causality
3. Experiments: Randomized controlled trials, oversubscribed lotteries, phase-in designs, and nudging
4. Regression, propensity score matching, and entropy balancing
5. Instrumental variables estimation
6. Regression discontinuity designs
7. Difference-in-differences approach and synthetic control method

Examination: The examination is based on a written exam. Bonus points for the exam can be achieved during the tutorials. Further information are given in the first lecture.

Zusätzliche Informationen
Erwartete Teilnehmerzahl: 20

Zugeordnete Lehrveranstaltungen
UE: Tutorial: "Causal Inference in Economics" (030196)
Dozent/in: Stefan Leopold, M.Sc.
Zeit und Ort: jede 2. Woche Fr 10:15 - 11:45, WSP1 - R.506
UnivIS ist ein Produkt der Config eG, Röttenbach

  • OLAT Login

     

    Die aktuellen Vorlesungskripte finden Sie nur auf OLAT, der zentralen Lernplattform der CAU.  ...mehr