Universität Wien

040081 UE Empirical Methods II (MA) (2024W)

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

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

  • Donnerstag 03.10. 13:15 - 16:30 Seminarraum 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Donnerstag 10.10. 13:15 - 16:30 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
  • Donnerstag 17.10. 13:15 - 16:30 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Donnerstag 24.10. 13:15 - 16:30 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Donnerstag 31.10. 13:15 - 16:30 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Donnerstag 14.11. 13:15 - 16:30 Digital
  • Donnerstag 21.11. 13:15 - 16:30 Digital
  • Donnerstag 12.12. 13:15 - 16:30 Digital
  • Donnerstag 16.01. 15:00 - 16:30 Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock
  • Montag 27.01. 13:15 - 16:30 Digital

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

This course complements “Empirical Methods I” and builds on the knowledge, datasets and STATA skills students acquired in that introductory class. Being an advanced course on writing empirical papers, the goal of this course is for students to learn how to work with data and analyze it against the backdrop of a given research question.

Therefore, after a brief recap of the contents of “Empirical Methods I”, we will re-activate knowledge acquired in undergraduate Statistics classes and 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 STATA skills and theoretical know-how of students and introduce data analysis using statistical programming software. Students will learn the basic idea behind the Least Squares method, several regression types and will become familiar with Gauss-Markov Conditions, as well as the concept of unbiased and efficient regression results. Students will participate by reading and presenting scientific articles in some of the highest ranked strategy journals and working with practice, as well as real-world datasets. Knowledge gained in this course will be applied during a project where students actively conduct their own empirical research, using the front-ends (introduction, theory and hypotheses) they wrote, as well as the data they obtained during Empirical Methods I. Having taken both classes, students shall be left with detailed knowledge and practical experience on how to put-up an empirical paper.

This course is interactive and built around the idea of a laboratory setup as is typical for social sciences. The setup necessitates certain software and IT equipment. To provide every student the same opportunity to successfully participate in the course, it is partly held in one of the PC-labs at the OMP 1. The class is hence held in-person with selected (non-theory, individual meetings) sessions held via Zoom. For those online meetings, students are required to ensure stable Internet connection and be able to join using their web cameras as well. Hence, not only an audio connection, also a video connection is required. The majority of all sessions, as well as the exam will be held in person. The exact format of individual sessions will be announced during Session 1.
Please refer to https://strategy.univie.ac.at/ for general information on our courses.

Art der Leistungskontrolle und erlaubte Hilfsmittel

30% - class participation (i.e., review, home assignments and presentation of an empirical paper)
35% - written exam
35% - empirical project (i.e., own paper including a presentation)

Mindestanforderungen und Beurteilungsmaßstab

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. 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:
5 – [0%; 50%)
4 – [50%; 62.5%)
3 – [62.5%; 75%)
2 – [75%; 87.5%)
1 – [87.5%; 100%]

Prüfungsstoff

Students are required to know and have understood all topics discussed in class and presented on the lecture slides. The written exam places focus not only on students' theoretical knowledge, but on applying theory to real-world examples.

Literatur

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

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Mo 04.11.2024 13:45