MPE_AEME Applied Experimental Methods

Faculty of Economics and Administration
Autumn 2025
Extent and Intensity
0/2/0. 4 credit(s). Type of Completion: zk (examination).
In-person direct teaching
Teacher(s)
Luca Fumarco, PhD (seminar tutor)
doc. Ing. Ondřej Krčál, Ph.D. (seminar tutor)
Mag. Stefanie Peer, Ph.D. (seminar tutor)
doc. Ing. Rostislav Staněk, Ph.D. (seminar tutor)
Guaranteed by
doc. Ing. Rostislav Staněk, Ph.D.
Department of Economics – Faculty of Economics and Administration
Contact Person: Mgr. Jarmila Šveňhová
Supplier department: Department of Economics – Faculty of Economics and Administration
Timetable of Seminar Groups
MPE_AEME/01: Thu 2. 10. 16:00–17:50 S306, Fri 3. 10. 10:00–13:50 S313, Thu 9. 10. 16:00–17:50 S306, Fri 10. 10. 10:00–13:50 S313, Thu 16. 10. 16:00–17:50 S306, Fri 17. 10. 10:00–13:50 S313, Thu 23. 10. 16:00–17:50 S306, Fri 24. 10. 10:00–13:50 S313, L. Fumarco, O. Krčál, S. Peer, R. Staněk
Prerequisites
Some basic knowledge of econometrics or statistics is required. Students should have a basic knowledge of the OLS estimator and hypothesis testing. Any course of econometrics should provide sufficient background.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
This course provides an experimental toolbox that allow for identification of causal effects in empirical research in applied microeconomics. We will discuss various types of experiments (discrete choice, information provision, field, survey) in the context of transportation, health care, education, among others. Students learn to apply experimental designs to real-life problems.
Learning outcomes
After completing the course, the student will be able to:
understand the importance of experiments in causal inference;
understand key concepts of experimental methodology and their application;
design an experiment, determine the method of data collection, and perform statistical evaluation;
formulate and critically assess the necessity and possibilities of different types of experiments.
Syllabus
  • Introduction to experimental methodology
  • Discrete choice experiments
  • Information provision experiments
  • Field expriments
Teaching methods
The general concepts will be presented via lectures and case studies.
Assessment methods
Regular and active participation in seminars (30%)
Experimental desing proposal (70%)
Náhradní absolvování
The course can be completed in case of a stay abroad within Erasmus or a similar programme. In the case the evaluation is based solely on the experimental design proposal.
Language of instruction
English
Follow-Up Courses
Further Comments
Study Materials
The course is taught annually.
  • Enrolment Statistics (recent)
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