Gaechter, Simon
(2018).
Disappointment aversion and social comparisons in a real-effort competition 2012-2017.
[Data Collection]. Colchester, Essex:
UK Data Archive.
10.5255/UKDA-SN-853346
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 present an experiment to investigate the source of disappointment aversion in a sequential real-effort competition. Specifically, we study the contribution of social comparison effects to the disappointment aversion previously identified in a two-person real-effort competition (Gill & Prowse, 2012). To do this we compare “social” and “asocial” versions of the Gill and Prowse experiment, where the latter treatment removes the scope for social comparisons. If disappointment aversion simply reflects an asymmetric evaluation of losses and gains we would expect it to survive in our asocial treatment. Alternatively, if losing to or winning against another person affects the evaluation of losses/gains, as we
show would be theoretically the case under asymmetric inequality aversion, we would expect treatment differences. We find behavior in social and asocial treatments to be similar, suggesting that social comparisons have little impact in this setting. Unlike in Gill and Prowse we do not find evidence of disappointment aversion.
Data creators: |
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Contributors: |
Name |
Affiliation |
ORCID (as URL) |
Huang Lingbo |
Monash University |
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Sefton Martin |
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: |
real effort competition, social comparison effects, disappointment aversion, reference-dependent preferences
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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 11:55
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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 design compares two treatments, social and asocial, in three waves of sessions. In each wave, there were six social and three asocial sessions, with 20 subjects participating in each session. Thus, in each wave 120 subjects participated in our social treatment (60 first movers and 60 second movers,as in GP) and 60 subjects participated in our asocial treatment. Across all three waves,540 subjects participated in our experiment. |
Observation unit: |
Individual |
Kind of data: |
Numeric |
Type of data: |
Experimental data
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Resource language: |
English |
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Data sourcing, processing and preparation: |
All sessions were conducted in the CeDEx lab at the University of Nottingham using z-Tree software (Fischbacher 2007).
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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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