• Graduate Programs
    • Tinbergen Institute Research Master in Economics
      • Why Tinbergen Institute?
      • Research Master
      • Admissions
      • Course Registration
      • PhD Vacancies
      • Selected PhD Placements
    • Facilities
    • Browse our Courses
    • Research Master Business Data Science
    • PhD Vacancies
  • Research
  • Browse our Courses
  • Events
    • Summer School
      • Applied Public Policy Evaluation
      • Deep Learning
      • Economics of Blockchain and Digital Currencies
      • Economics of Climate Change
      • Foundations of Machine Learning with Applications in Python
      • From Preference to Choice: The Economic Theory of Decision-Making
      • Gender in Society
      • Machine Learning for Business
      • Marketing Research with Purpose
      • Sustainable Finance
      • Tuition Fees and Payment
      • Business Data Science Summer School Program
    • Events Calendar
    • Events Archive
    • Tinbergen Institute Lectures
    • 16th Tinbergen Institute Annual Conference
    • Annual Tinbergen Institute Conference
  • News
  • Alumni
    • PhD Theses
    • Master Theses
    • Selected PhD Placements
    • Key alumni publications
    • Alumni Community
Home | News | Matching mechanism developed by TI Fellows
News | October 29, 2014

Matching mechanism developed by TI Fellows

TI fellows Pieter Gautier, Bas van der Klaauw and Hessel Oosterbeek developed a new matching mechanism for the candidates of the Physician training institute in the Netherlands.

The new system that the researchers proposed, is based on the Random serial dictatorship mechanism with build in incentives for candidates to name as many places as possible. The Physician training institute will implement this system in April 2015.

Earlier this year, fellows Gautier, van der Klaauw and Oosterbeek (with Monique de Haan, University of Bergen, Norway) developed a similar matching mechanism for the association of high schools in Amsterdam. These examples illustrate how game theory and econometrics can be used to advise policy makers in reaching a better allocation.