• 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

Oosterbeek, H. and Webbink, D. (1997). Is there a hidden technical potential? De Economist, 145(2):159--177.


  • Journal
    De Economist

This paper analyzes the determinants of choosing a technical study at university level and of staying in it. We find that – in The Netherlands – there is little correlation between the probability of a student choosing a technical study and the probability of completing it. This implies that a substantial number of technically talented people choose non-technical studies. Especially female students and students from high income families are unlikely to attent a technical study but these students are relatively successful in such studies. A large part of these technically talented students are attracted to medical studies and law schools, where they are no more likely to persist than other medical and law students. This finding is predicted by the tournament model in which rewards are based on relative performance instead of absolute performance.