• Graduate Programs
    • Tinbergen Institute Research Master in Economics
      • Why Tinbergen Institute?
      • Research Master
      • Admissions
      • All Placement Records
      • PhD Vacancies
    • Facilities
    • Research Master Business Data Science
    • Education for external participants
    • Summer School
    • Tinbergen Institute Lectures
    • PhD Vacancies
  • Research
  • Browse our Courses
  • Events
    • 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
    • Events Calendar
    • Events Archive
    • 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
    • PhD Theses
    • Master Theses
    • Selected PhD Placements
    • Key alumni publications
    • Alumni Community

Feess, E., Levati, M., Rieser, M. and Soraperra, I. (2020). High-powered Contracts, Self-selection and Welfare in Settings with Externalities Economica, 87(346):328--363.


  • Affiliated author
    Ivan Soraperra
  • Publication year
    2020
  • Journal
    Economica

We extend the experimental analysis of sorting and effort effects of high‐powered contracts on welfare to situations with negative externalities. Participants solve brainteasers from Raven's matrices. The difference between right and wrong answers represents our measure of welfare per capita. We compare two contract schemes: fixed‐wage and bonus contracts that reward subjects for the number of correct answers, regardless of the number of wrong answers. With fixed wages, selfish individuals have no effort incentive. With bonuses, they have incentives to answer as many questions as possible. The two contract schemes are further separated depending on whether participants self‐select or are randomly assigned to a contract. The self‐selection treatments correspond to cases where countries do not regulate contracts. The random assignment treatments mimic situations where countries either offer only bonuses or ban them. We find that bonuses generate lower welfare per capita than fixed wages as the higher effort incentives are outweighed by the detrimental effect of answering too many questions. However, due to productivity sorting, a general ban on bonuses does not increase welfare per capita compared to offering both contract schemes.