Enhancing cooperation and investigating peer effects on human capital formation – A randomized-controlled field study with primary school children

Project: Research

Project participants

  • Hett, Florian (Project manager, academic)
  • Schunk, Daniel (Partner)
  • Mechtel, Mario (Project manager, academic)

Description

 Human cooperation can fundamentally shape many important economic outcomes of individuals and groups. Individuals differ in their cooperative behavior and these differences remain even after explicitly controlling for differences in institutional settings, technologies and beliefs under which cooperative behavior is studied, thereby identifying differences in underlying individual preferences for cooperation. These preferences for cooperation not only exist but even matter a great deal for cooperative behavior in the field, namely the management of common pool resources. The focus of this project is on analyzing cooperation among first graders, as previous research has shown that (1) the level of malleability of preferences and skills seems to be higher for young children and (2) differences in development at this age are strong predictors for life outcomes. A significant contribution of this project consists of designing, testing, and implementing a new informative measure of cooperation, as standard designs of “classical” cooperation games, e.g. public good games, might not be suitable for being used with young children. In case of successfully identifying an age appropriate measure of cooperation, we plan to realize a large-scale field study in the school context to investigate whether preferences for cooperation are shaped by the actual experience of cooperation for a substantial period of time, and, to what degree the social environment of individuals mediates this effect. This project is funded by the Germany National Science Foundation (DFG).
StatusFinished
Period01.01.1731.12.20

Recently viewed

Researchers

  1. Neele Puhlmann

Publications

  1. Developing a Process for the Analysis of User Journeys and the Prediction of Dropout in Digital Health Interventions:
  2. Learning shortest paths in word graphs
  3. A Two-Stage Sliding-Mode High-Gain Observer to Reduce Uncertainties and Disturbances Effects for Sensorless Control in Automotive Applications
  4. archiDART: an R package for the automated computation of plant root architectural traits
  5. Second-Order Sliding Mode Control with State and Disturbance Estimation for a Permanent Magnet Linear Motor
  6. Deciding between the Covariance Analytical Approach and the Change-Score Approach in Two Wave Panel Data
  7. Encoding the law of State responsibility with courage and resolve
  8. Investigating the Promotional Effect of Green Signals in Sponsored Search Advertising Using Bayesian Parameter Estimation
  9. The effect of structural complexity on large mammal occurrence in revegetation
  10. Telecoupling as a framework to support a more nuanced understanding of causality in land system science
  11. Single-Word Recognition Need Not Depend on Single-Word Features
  12. Playing in the Spaces: Anarchism in the Classroom
  13. Evaluating A Teaching-Learning Sequence (TLS) About Acid-Base Reactions In Upper Secondary School
  14. Anatomy of Chua's System - Nonlinear Dynamic Electronics for Chaos in the Lab
  15. Ontology-based automatic classification for Web pages
  16. Development of Early Spatial Perspective-Taking - Toward a Three-Level Model
  17. A highly transparent method of assessing the contribution of incentives to meet various technical challenges in distributed energy systems
  18. Understanding the error-structure of Time-driven Activity-based Costing
  19. Phase Shift APOD and POD Control Technique in Multi-Level Inverters to Mitigate Total Harmonic Distortion

Press / Media

  1. Computersimulation