• 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

Dohmen, T., Non, A. and Stolp, T. (2021). Reference points and the tradeoff between risk and incentives Journal of Economic Behavior and Organization, 192:813--831.


  • Affiliated author
  • Publication year
    2021
  • Journal
    Journal of Economic Behavior and Organization

We conduct laboratory experiments to investigate basic predictions of principal-agent theory about the choice of piece rate contracts in the presence of output risk, and provide novel insights that reference dependent preferences affect the tradeoff between risk and incentives. Subjects in our experiments choose their compensation scheme for performing a real-effort task from a menu of linear piece rate and fixed payment combinations. As classical principal-agent models predict, more risk averse individuals choose lower piece rates. However, in contrast to those predictions, we find that low-productivity risk averse workers choose higher piece rates when the riskiness of the environment increases. We hypothesize that reference points affect piece rate choice in risky environments, such that individuals whose expected earnings would exceed (fall below) the reference point in a risk-free environment behave risk averse (seeking) in risky environments. In a second experiment, we exogenously manipulate reference points and confirm this hypothesis.