• Graduate Programs
  • Research
  • Browse our Courses
  • Events
    • Events Calendar
    • Events Archive
    • Summer School
      • Applied Public Policy Evaluation
      • Deep Learning
      • Development Economics
      • Economics of Blockchain and Digital Currencies
      • Economics of Climate Change
      • The Economics of Crime
      • Foundations of Machine Learning with Applications in Python
      • From Preference to Choice: The Economic Theory of Decision-Making
      • Inequalities in Health and Healthcare
      • Marketing Research with Purpose
      • Markets with Frictions
      • Modern Toolbox for Spatial and Functional Data
      • Sustainable Finance
      • Tuition Fees and Payment
      • Business Data Science Summer School Program
    • Tinbergen Institute Lectures
    • 2026 Tinbergen Institute Opening Conference
    • Annual Tinbergen Institute Conference
  • News
  • Summer School
    • Applied Public Policy Evaluation
    • Deep Learning
    • Development Economics
    • Economics of Blockchain and Digital Currencies
    • Economics of Climate Change
    • The Economics of Crime
    • Foundations of Machine Learning with Applications in Python
    • From Preference to Choice: The Economic Theory of Decision-Making
    • Inequalities in Health and Healthcare
    • Marketing Research with Purpose
    • Markets with Frictions
    • Modern Toolbox for Spatial and Functional Data
    • Sustainable Finance
    • Tuition Fees and Payment
  • Alumni

Programme Information

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.

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

Teaching method

  • lectures given by the instructor
  • participation in experiment run by the instructors
  • experiments developed and run by groups of students
  • 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.

Visit the UvA Summer School website

Information about this summer course will be available on this website soon (you will be directed to the website of the University of Amsterdam Summer School).