4936 New Perspectives in Business and Econometrics
Univ.Prof. Dr. Sylvia Frühwirth-Schnatter, Univ.Prof. Dr. Thomas Reutterer
  • LV-Typ
  • Semesterstunden
  • Unterrichtssprache
01.02.2019 bis 22.02.2019
Anmeldung über LPIS
Hinweise zur LV
Planpunkt(e) Doktorat/PhD
Wochentag Datum Uhrzeit Raum
Mittwoch 20.03.2019 09:30 - 10:45 D2.2.487
Donnerstag 11.04.2019 09:00 - 11:00 D4.4.213
Donnerstag 09.05.2019 13:30 - 15:30 D4.4.213
Mittwoch 05.06.2019 09:00 - 12:30 D4.4.213
Mittwoch 03.07.2019 09:00 - 12:30 D4.4.008

Inhalte der LV

This course is taught in an interdisciplinary research format. While we will use examples from marketing, a large fraction of research projects in other subdisciplines of business administration (such as organizations, strategy, and management) and economics requires the utilization of quantitative research and econometric methods.

The course is designed to introduce and to discuss quantitative research methods, which include but are not limited to market response and econometric time-series models, stochastic repeat-buying models, logit/probit models, discrete choice models, and Bayesian statistical methods. The course also offers opportunities for in-depth discussion of specific methodological issues, depending on the research interests of the students.

The actual content and course structure will be customized to the specific requirements of the students, which we will discuss in the opening session. Thus, it is absolutely necessary that interested students are attending this first session.

Lernergebnisse (Learning Outcomes)

The main emphasis of this course is to provide methodological advice and guidance to doctoral/PhD students. The seminar also offers students opportunities to meet and to discuss their research work with each other and the course instructors. Breakout groups and occasional individual coaching sessions will cover the more specific requirements of students.

Regelung zur Anwesenheit

If there are any conflicts with the seminar, please let the instructor know. Exceptions should be minimized and limited to medical reasons, other class attendance, or own teaching commitment.


The course will utilize a mix of interactive faculty lectures, class discussions, and student presentations. The instructors will provide students with additional advice, individual and/or group coaching sessions, and feedback. Active participation is crucial for a favorable outcome of this course.

Leistung(en) für eine Beurteilung

Students will be assessed based on their in-class contributions (20%), a peer feedback evaluation (30%), and a presentation of a research paper (50%).

Detailinformationen zu einzelnen Lehrveranstaltungseinheiten

Einheit Datum Inhalte

Die LV-LeiterInnen geben detallierte Kommentare und Information zu statistisch-ökonometrischen Methoden und deren Anwendungen in den verschiedenen Bereichen emprischer Forschung (Marketing, Finance, Economics, Business applications). 

Die genauen Inhalte der einzelnen Einheiten werden durch die Dissertationsvorhaben der LV-TeilnehmerInnen bestimmt.

Zuletzt bearbeitet: 11.01.2019