• 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

Sun, J., Schram, A. and Sloof, R. (2021). Elections under biased candidate endorsements — an experimental study Games and Economic Behavior, 125:141--158.


  • Journal
    Games and Economic Behavior

We construct an election game to study the electoral impacts of biased candidate endorsements. We derive a set of testable predictions. We test these in a laboratory experiment and find that observed election outcomes and vote shares are well predicted. We find no support, however, for our prediction that the relationship between election outcome and the endorser's bias is non-monotonic; i.e., ex ante, a candidate's winning probability will first increase and then decrease as the endorser becomes more biased towards her. Voter turnout is much less responsive to the bias than predicted. We argue that observed voting behavior can be explained, to a substantial extent, by three behavioral mechanisms: (a) distinct levels of rationality for candidate choice and turnout decisions, (b) conservative belief updating, and (c) {\textquoteleft}partial competition neglect{\textquoteright}, where voters underestimate the correlation between the information released by an endorsement and the closeness of elections.