Sefton, Martin
(2018).
Information feedback and contest structure in rent-seeking games.
[Data Collection]. Colchester, Essex:
UK Data Archive.
10.5255/UKDA-SN-852959
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 effects of information feedback in rent-seeking games with two different contest structures. In the share contest a contestant receives a share of the rent equal to her share of rent-seeking expenditures, while in the lottery contest a contestant wins the entire rent with probability equal to her share of rent-seeking expenditures. In share contests average expenditures converge to equilibrium levels when subjects only get feedback about own earnings, and additional feedback about rivals' choices and earnings raises average expenditures. In lottery contests information feedback has an opposite, and even stronger, effect: when subjects only get feedback on own earnings we observe high levels of rent dissipation, usually exceeding the value of the rent, and additional feedback about rivals' choices and earnings has a significant moderating influence on expenditures. In a follow-up treatment we make information feedback endogenous by allowing contestants in a lottery contest to make public or private expenditures. Subjects make the vast majority of expenditures privately and overall excess expenditures are similar to the lottery contest with own feedback.
Data creators: |
Creator Name |
Affiliation |
ORCID (as URL) |
Sefton Martin |
University of Nottingham |
|
|
Contributors: |
Name |
Affiliation |
ORCID (as URL) |
Renner Elke |
University of Nottingham |
|
Fallucchi Francesco |
University of Nottingham |
|
|
Sponsors: |
Economic and Social Research Council
|
Grant reference: |
ES/K002201/1
|
Topic classification: |
Economics
|
Keywords: |
Contests, Rent-seeking, Information feedback, Learning, Experiments
|
Project title: |
Network for Integrated Behavioural Science
|
Grant holders: |
Chris Starmer, Daniel John Zizzo, Nick Chater, Gordon Brown, Anders Poulsen, Martin Sefton, Neil Stewart, Uwe Aickelin, John Gathergood, Robert Sugden, Abigail Barr, Graham Loomes, Simon Gaechter, Shaun Hargreaves-Heap, Robert MacKay, Robin Cubitt, Enrique Fatas, Theodore Turocy, Daniel Read
|
Project dates: |
From | To |
---|
31 December 2012 | 30 September 2017 |
|
Date published: |
03 Jan 2018 15:43
|
Last modified: |
03 Jan 2018 15:44
|
Collection period: |
Date from: | Date to: |
---|
31 December 2012 | 30 September 2017 |
|
Country: |
United Kingdom |
Data collection method: |
The experiment consisted of eight sessions with either 15 or 18 subjects each. Sessions were conducted at the University of Nottingham in December 2011 using the software z-tree (Fischbacher, 2007). We recruited 123 students from a wide range of disciplines through the online recruiting system ORSEE (Greiner 2004) and no participant took part in more than one session. None of the participants had taken part in previous contest experiments. |
Observation unit: |
Individual |
Kind of data: |
Numeric |
Type of data: |
Experimental data
|
Resource language: |
English |
|
Rights owners: |
Name |
Affiliation |
ORCID (as URL) |
Sefton Martin |
University of Nottingham |
|
|
Contact: |
Name | Email | Affiliation | ORCID (as URL) |
---|
Sefton, Martin | martin.sefton@nottingham.ac.uk | University of Nottingham | Unspecified |
|
Notes on access: |
The Data Collection is available to any user without the requirement for registration for download/access.
|
Publisher: |
UK Data Archive
|
Last modified: |
03 Jan 2018 15:44
|
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