Humboldt-Universität zu Berlin - School of Business and Economics

Design of Decision Experiments


Lecture: weekly Tue 2pm-4pm

see agnes

Audience: Master, MEMS
Grading policy: Exam 90 min. (100%)
(6 study points)

Comments on the course

This course covers methodological basics of experimental economics. A special emphasis is put on the conception, implementation, and analysis of experiments that are based on decision and game theory. Participants will learn basics of experimental design, programming of decision experiments, as well as, statistic and econometric analysis of experimental data. Examples are predominately from the area of entrepreneurship and innovation.


After participating in this course students have a thorough understanding of the basic scientific requirements of experimentation and experimental design in entrepreneurship, management and related fields.

Students are in particular familiar with the different methods employed in the field of experimental economics and their respective advantages and disadvantages.

Students furthermore know how to critically evaluate and discuss scientific work and how to potentially improve such work. Participants are also capable of programming basic experiments using the experimental software z-Tree (Fischbacher, 2007) and command the required econometric / statistical tools for the successful analysis of (self-modelled) experimental designs.

This course is offered in English!