Gaechter, Simon
(2018).
Leaders as role models and ‘belief managers’ in social dilemmas 2012-2015.
[Data Collection]. Colchester, Essex:
UK Data Archive.
10.5255/UKDA-SN-853345
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 sets.
The Network will promote high quality cross-disciplinary research and serve as a policy forum for understanding behaviour and behaviour change.
Data description (abstract)
We investigate the link between leadership, beliefs and pro-social behavior in social dilemmas. This link is interesting because field evidence suggests that people's behavior in domains like charitable giving, tax evasion, corporate culture and corruption is influenced by leaders (CEOs, politicians) and beliefs about others’ behavior. Our framework is a repeated experimental public goods game with and without a leader who makes a contribution to the public good before others (the followers). We find that leaders strongly shape their followers’ initial beliefs and contributions. In later rounds, followers put more weight on other followers’ past behavior than on the leader's current action. This creates a path dependency the leader can hardly correct. We discuss the implications for understanding belief effects in naturally occurring situations.
Data creators: |
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Contributors: |
Name |
Affiliation |
ORCID (as URL) |
Renner Elke |
University of Nottingham |
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Sponsors: |
Economic and Social Research Council
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Grant reference: |
ES/K002201/1
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Topic classification: |
Economics
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Keywords: |
leadership, beliefs, reciprocity, peer effects, experiments, public goods, path dependency, public policy, management
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Project title: |
Network for Integrated Behavioural Science
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Grant holders: |
Chris Starmer, Gordon Brown, Graham Loomes, Theodore Turocy, Robert Sugden, John Gathergood, Abigail Barr, Simon Gaechter, Robin Cubitt, Daniel Read, Nick Chater, Neil Stewart, Martin Sefton, Daniel John Zizzo, Anders Poulsen, Uwe Aickelin, Enrique Fatas, Shaun Hargreaves-Heap, Robert MacKay
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Project dates: |
From | To |
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31 December 2012 | 30 September 2017 |
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Date published: |
09 Oct 2018 11:28
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Last modified: |
09 Oct 2018 11:55
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Collection period: |
Date from: | Date to: |
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31 December 2012 | 30 September 2017 |
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Country: |
United Kingdom |
Data collection method: |
Experiment. Our basic design involves a linear public goods game. Each of the four team members has to decide on how many of 20 tokens to keep and how many tokens to contribute to a team project.
All experiments were conducted with z-Tree (Fischbacher, 2007). Our participants were 96 undergraduates from various disciplines; 48 participated in the leader treatment and 48 in the no-leader treatment. In total, we have thus observations from 24 independent groups of four subjects.
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Observation unit: |
Individual |
Kind of data: |
Numeric |
Type of data: |
Experimental data
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Resource language: |
English |
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Rights owners: |
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Contact: |
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Notes on access: |
The Data Collection is available to any user without the requirement for registration for download/access.
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Publisher: |
UK Data Archive
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Last modified: |
09 Oct 2018 11:55
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