Starmer, Chris
(2018).
How do risk attitudes affect measured confidence?
[Data Collection]. Colchester, Essex:
UK Data Archive.
10.5255/UKDA-SN-853001
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 examine the relationship between confidence in own absolute performance and risk attitudes using two confidence elicitation procedures: self-reported (non-incentivised) confidence and an incentivised procedure that elicits the certainty equivalent of a bet based on performance. The former procedure reproduces the “hard-easy effect” (underconfidence in easy tasks and overconfidence in hard tasks) found in a large number of studies using non-incentivised self-reports. The latter procedure produces general underconfidence, which is significantly reduced, but not eliminated when we filter out the effects of risk attitudes. Finally, we find that self-reported confidence correlates significantly with features of individual risk attitudes including parameters of individual probability weighting.
Data creators: |
Creator Name |
Affiliation |
ORCID (as URL) |
Starmer Chris |
University of Nottingham |
|
|
Contributors: |
Name |
Affiliation |
ORCID (as URL) |
Sefton Martin |
University of Nottingham |
|
Murad Zahra |
Surrey Business School |
|
|
Sponsors: |
Economic and Social Research Council
|
Grant reference: |
ES/K002201/1
|
Topic classification: |
Economics
|
Keywords: |
Overconfidence, Underconfidence, Experiment, Risk preferences
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Project title: |
Network for Integrated Behavioural Science
|
Grant holders: |
Chris Starmer, Nick Chater, Daniel John Zizzo, Gordon Brown, Anders Poulsen, Martin Sefton, Neil Stewart, Uwe Aickelin, Robert Sugden, John Gathergood, Abigail Barr, Robin Cubitt, Robert MacKay, Shaun Hargreaves-Heap, Simon Gaechter, Graham Loomes, Enrique Fatas, Daniel Read, Theodore Turocy
|
Project dates: |
From | To |
---|
31 December 2012 | 30 September 2017 |
|
Date published: |
04 Jan 2018 16:00
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Last modified: |
04 Jan 2018 16:01
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Collection period: |
Date from: | Date to: |
---|
31 December 2012 | 30 September 2017 |
|
Country: |
United Kingdom |
Data collection method: |
Experiment in two parts. In the first part, we used a procedure (common across all subjects, and explained in detail later) to elicit risk attitudes. In the second part, we measured confidence about own performance in the context of a standard quiz framework, using two different techniques, which we now explain. In Part 2 of the experiment, subjects responded to a series of two-item multiple-choice questions, each of which asked them to judge which of a pair of cities had the highest population. Subjects could earn £0.50 for each correct answer. |
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: |
Name |
Affiliation |
ORCID (as URL) |
Starmer Chris |
University of Nottingham |
|
|
Contact: |
Name | Email | Affiliation | ORCID (as URL) |
---|
Starmer, Chris | chris.starmer@nottingham.ac.uk | University of Nottingham | Unspecified |
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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: |
04 Jan 2018 16:01
|
|
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