Netherlands, Amsterdam

Crash Course in Experimental Economics

when 4 July 2016 - 8 July 2016
language English
duration 1 week
credits 3 ECTS
fee EUR 999

This introductory course provides an in-depth analysis of some recent developments, including the rapid growth of behavioural economics and the increased use of field experiments. Because experimental economics is a methodology often used to test economic theory, the course also covers theoretical issues (more specifically, game theory), when appropriate.

>> For more information and questions about the Crash Course in Experimental Economics, please contact Erik van den Berg, +31 20 525 1618, <<

Topics include:
- experimental methodology
- behavioural economics (public goods, bargaining, other-regarding preferences)
- industrial organisation (auctions, double auction, market power, mechanism design)
- individual decision-making (expected utility, probability weighting)
- analysis of experimental data

The course consists of lectures given by the instructor, participation in experiment run by the instructors, experiments developed and run by groups of students, and presentations of experimental results.

For the experiments, students will be split into groups of 5 or 6. Each group will develop an experiment on their preferred topic and run the experiment using the other students as participants. The groups will then analyze the data and present the results. A class discussion will follow.

For 2016 we are offering a new feature at the end of the crash course: an additional one-day module on Statistical Data Analysis.

Course leader

prof Arthur Schram
lecturers: prof Arthur Schram and dr Jeroen van de Ven

Target group

Master's and PhD students, alumni, professionals in Economics and related fields.
Students are expected to have passed an intermediate-level course in micro-economics (including basic game theory).

Course aim

This one-week crash course is an introduction to the field of experimental economics. At the end of the course you will have obtained the skills needed to design and run an experiment as part of your thesis.

Credits info

6 ECTS with paper

Fee info

EUR 999: PhD and Masters students
Additional one-day module Data Analysis: € 250
EUR 1250: Others (postdocs, professionals)
Additional one-day module Data Analysis: € 300


Some scholarships available.

Register for this course
on course website