This course is delivered in a genuinely interdisciplinary research format. While we will focus on examples from various subdisciplines in business and management (including, but not limited to marketing, finance, strategy, or international business), a substantial proportion of topics discussed in this course come from economics as well as statistics and econometrics.

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.

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.

This course benefits from the exchange of different perspectives on the problem settings highlighted in individual student's projects. Thus, a minimum of 60% attendance is expected.

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.

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

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