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Peer effects and social preferences in voluntary cooperation: A theoretical and experimental analysis
Creator
Gaechter, S, University of Nottingham
Study number / PID
852822 (UKDA)
10.5255/UKDA-SN-852822 (DOI)
Data access
Open
Series
Not available
Abstract
Social preferences and social influence effects (“peer effects”) are well documented, but little is known about how peers shape social preferences. Settings where social preferences matter are often situations where peer effects are likely too. In a gift-exchange experiment with independent payoffs between two agents we find causal evidence for peer effects. Efforts are positively correlated but with a kink: agents follow a low-performing but not a high-performing peer. This contradicts major theories of social preferences which predict that efforts are unrelated, or negatively related. Some theories allow for positively-related efforts but cannot explain most observations. Conformism, norm following and social esteem are candidate explanations.This network project brings together economists, psychologists, computer and complexity scientists from three leading centres for behavioural social science at Nottingham, Warwick and UEA. This group will lead a research programme with two broad objectives: to develop and test cross-disciplinary models of human behaviour and behaviour change; to draw out their implications for the formulation and evaluation of public policy.
Foundational research will focus on three inter-related themes: understanding individual behaviour and behaviour change; understanding social and interactive behaviour; rethinking the foundations of policy analysis.
The project will explore implications of the basic science for policy via a series of applied projects connecting naturally with the three themes. These will include: the determinants of consumer credit behaviour; the formation of social values; strategies for evaluation of policies affecting health and safety.
The research will integrate theoretical perspectives from multiple disciplines and utilise a wide range of complementary methodologies including: theoretical modeling of individuals, groups and complex systems; conceptual analysis; lab and field experiments; analysis of large data...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
31/12/2012 - 30/09/2017
Country
United Kingdom
Time dimension
Not available
Analysis unit
Individual
Universe
Not available
Sampling procedure
Not available
Kind of data
Numeric
Data collection mode
Experimental data. See publication under Related Resources.
Funding information
Grant number
ES/K002201/1
Access
Publisher
UK Data Service
Publication year
2017
Terms of data access
The Data Collection is available to any user without the requirement for registration for download/access.