Universität Wien FIND
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040081 UE Empirical Methods II (MA) (2019S)

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Prüfungsimmanente Lehrveranstaltung

Details

max. 30 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

Donnerstag 28.03. 09:45 - 13:00 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
Dienstag 02.04. 15:00 - 16:30 Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock
Freitag 05.04. 16:45 - 20:00 Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Dienstag 09.04. 18:30 - 20:00 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Mittwoch 10.04. 16:45 - 20:00 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
Freitag 12.04. 11:30 - 14:45 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Montag 29.04. 08:00 - 09:30 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Montag 29.04. 09:45 - 11:15 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Dienstag 30.04. 16:45 - 20:00 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
Freitag 03.05. 09:45 - 11:15 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Donnerstag 16.05. 11:30 - 14:45 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

This course complements “Empirical Methods I” and builds on the knowledge acquired in that introductory class. The goal of this follow-up course is for students to learn how to work with data and analyse it against the backdrop of a given research question. After a brief recap of the contents of “Empirical Methods I”, we will delve into data analysis both in an applied and theoretical manner. Our theory sessions will mainly focus on descriptive and inference statistics for cross-sectional data. Our applied sessions will revisit the programming skills and theoretical know-how of students and introduce data analysis using statistical programming software. Students will participate by reading and presenting scientific articles in some of the highest ranked strategy journals. Knowledge gained in this course and its preceding class “Empirical Methods I” is also applied during a project where students actively conduct their own empirical research.

Art der Leistungskontrolle und erlaubte Hilfsmittel

Students will be assessed based on their class participation (class work, home assignments and a presentation of an empirical paper), a written exam and an empirical project (own paper and a presentation of own findings). The final project (including presentation) accounts for 40%, the exam for 30% and class participation accounts for 30% of the final grade.

Mindestanforderungen und Beurteilungsmaßstab

Please be aware that attendance during the first session of this course is absolutely mandatory. If students miss the first session without contacting the lecturer in writing (at the very latest until 24 hours before the first session), giving a relevant reason/proof (e.g. illness=doctor's certificate, exam=confirmation by the examiner) for their absence, they will be deregistered from the course and their place will automatically be awarded to the next in line on the waiting list. After that, students are allowed to miss 10% of the classes without any consequences (2.25 hours). Exceeding this threshold would result in failing the class. In order to pass the course, at least 50% of the total 100% are required. Please note that TURNITIN will be used in order to test all written coursework (e.g. the final project) for possible plagiarism.
Grading scheme: [0%;50%) [50%;62.5%) [62.5%;75%) [75%;87.5%) [87.5%;100%]

Prüfungsstoff

Students are required to know and have understood all topics discussed in class and presented on the lecture slides.

Literatur

Jeffrey M. Wooldridge (2013) Introduction to Econometrics: EMEA Edition
Additional literature will be discussed in class.

For further information, please refer to: https://strategy.univie.ac.at/

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Mi 03.07.2019 15:47