Universität Wien
Achtung! Das Lehrangebot ist noch nicht vollständig und wird bis Semesterbeginn laufend ergänzt.

040081 UE Empirical Methods II (MA) (2018W)

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

Attendance:

As part of the course grade, your class participation will be assessed every session. You will automatically fail the class if you miss more than 10% of sessions.

Pre-requisites:
For Major: completed Minor
Moodle

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 30 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

Please note that Monday 3rd of December and Monday 10th of December are fallback sessions only.

  • Dienstag 20.11. 08:00 - 13:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Freitag 23.11. 09:45 - 14:45 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Donnerstag 29.11. 09:45 - 14:45 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Montag 03.12. 09:45 - 14:45 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Mittwoch 05.12. 09:45 - 14:45 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Montag 10.12. 09:45 - 14:45 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Donnerstag 10.01. 09:00 - 14:00 Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

This course complements “Empirical Methods 1”. The goal of this follow-up class 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 on the contents of “Empirical Methods 1”, we will delve into data analysis both in an applied and theoretical manner. Our theory sessions will focus on descriptive and inference statistics for cross-sectional data with an application to business problems. Our applied sessions will introduce data coding and data analysis using statistical programming software.
Language: The course is held in English.

Art der Leistungskontrolle und erlaubte Hilfsmittel

Class participation (35% of total grade), Written individual Exam (20% of total grade), Project (45%) 50% of the total 100% are required to pass the course.

Please note that TURNITIN will be used in order to test all written coursework (e.g. seminar papers) for possible plagiarism.

Mindestanforderungen und Beurteilungsmaßstab

Overview and in-depth knowledge of the fundamental data preparation and analyzing methods in management research
Ability to assess quality of empirical research in management
Practical experience by conducting a study on a management related issue

Prüfungsstoff

Lectures
Discussions
Student Presentations
In-class exercises

Literatur

The basic reference we will use throughout the course is “Introductory Econometrics” by J. Wooldridge, Thomson, 2003 (or newer edition. Just note that page references below refer to the 2003 edition). Whenever necessary, we will draw from other textbooks.
Additionally, we will be drawing from a series of research articles that apply the methods discussed throughout the course. We will provide you with the readings at the relevant time.

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Mo 07.09.2020 15:28