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

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  2. The Politics of (Non)Knowledge in the (Un)Making of Migration
  3. A comparison between private and public access rules to bottlenecks - experiences and expectations from telecommunication and energy
  4. Modeling Converging Material Flows In The Supply Chain
  5. Estimation of minimal data sets sizes for machine learning predictions in digital mental health interventions
  6. CHANGING RECREATIONAL ACTIVITIES FOR REDUCING INSOMNIA SEVERITY? RESULTS FROM A SERIAL MEDIATION ANALYSIS ON THE IMPACT OF RECREATIONAL BEHAVIOR AS A MECHANISM OF CHANGE IN DIGITAL INTERVENTIONS FOR INSOMNIA
  7. Anisotropy and mechanical properties of dissimilar Al additive manufactured structures generated by multi-layer friction surfacing
  8. Developing a Process for the Analysis of User Journeys and the Prediction of Dropout in Digital Health Interventions:
  9. Article 11 Formal Validity
  10. The role of plant biodiversity in modifying the structure and functioning of higher tropic Levels in species-rich forests
  11. The role of task meaning on output in groups
  12. Analysis of the relevance of models, influencing factors and the point in time of the forecast on the prediction quality in order-related delivery time determination using machine learning
  13. Using rating scales for the assessment of physical self-concept
  14. Microstructural and mechanical aspects of reinforcement welds for lightweight components produced by friction hydro pillar processing
  15. "If you like something, you want it to develop."
  16. archiDART: an R package for the automated computation of plant root architectural traits
  17. Context-sensitive adjustment of pointing in great apes
  18. Obtaining Object Information from Stereo Vision System for Autonomous Vehicles
  19. Effectiveness of the world network of biosphere reserves in maintaining forest ecosystem functions
  20. Second-Order Sliding Mode Control with State and Disturbance Estimation for a Permanent Magnet Linear Motor
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