Universität Wien

040081 UE Empirical Methods II (MA) (2022S)

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work
MIXED
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 30 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Given the current Covid-19 situation, but also our goal to maintain a high quality and interactive class, the class should be held in-person (all sessions that have a "Hörsaal", a "Seminarraum" or a "PC-Seminarraum" listed), with a few sessions held via Zoom (will be announced in the first session). In this spirit, your physical presence at the faculty is absolutely mandatory for all ("offline") sessions held in-person. To enter the university building, however, you will need to respect the 2,5G-rule currently in place (vaccinated, PCR tested, or recovered) which will always be checked upon entering the faculty.
Respecting the current Covid-19 situation, however, please be flexible within this hybrid (combined) format of a class and be prepared for changes in the format, if necessary. We might be forced to shift some of the offline sessions to an online format - should that be the case, you are required to enter our Zoom sessions using your audio and video input.
The exact format of individual sessions and any changes to the current format of this class will always be announced in due time and will depend on the pandemic situation and the then-current governmental and university restrictions.

  • Monday 07.03. 09:45 - 13:00 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Monday 14.03. 09:45 - 13:00 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Monday 21.03. 09:45 - 13:00 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
    Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Monday 28.03. 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
    Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Monday 04.04. 13:15 - 16:30 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
    Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Monday 25.04. 13:15 - 16:30 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
    Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Monday 02.05. 09:45 - 13:00 Digital
  • Monday 09.05. 13:15 - 16:30 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Monday 16.05. 09:45 - 13:00 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Monday 23.05. 15:00 - 18:15 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 08.06. 09:45 - 13:00 Digital

Information

Aims, contents and method of the course

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 analyze 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 STATA 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 working with real-world data they obtained during Empirical Methods I.
This course is highly 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 usually held in one of the PC-labs at the OMP 1. Given the current Covid-19 situation, but also our goal to maintain a high quality and interactive class, this semester, the class should be held in-person with a few selected sessions held via Zoom. In this spirit, 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! In all sessions held in-person, students are required to attend, respecting the 2,5G-rule (vaccinated, PCR-tested, or recovered). The exact format of individual sessions will be announced in due time! For now, please refer to the information indicated above the class-schedule.

Assessment and permitted materials

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 35%, the exam for 35% and class participation accounts for 30% of the final grade.

Minimum requirements and assessment criteria

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. This restriction holds regardless the online/offline format of individual sessions. 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%]

Examination topics

Students are required to know and have understood all topics discussed in class and presented on the lecture slides. Focus is placed on applying theory to real-world examples.

Reading list

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/

Association in the course directory

Last modified: Th 11.05.2023 11:27