Cubitt, Robin
(2017).
Time matters less when outcomes differ: Unimodal vs. cross-modal comparisons in intertemporal choice.
[Data Collection]. Colchester, Essex:
UK Data Archive.
10.5255/UKDA-SN-852891
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)
Unimodal intertemporal decisions involve comparing options of the same type (e.g., apples now versus apples later), and cross-modal decisions involve comparing options of different types (e.g., a car now versus a vacation later). As we show, existing models of intertemporal choice do not allow time preference to depend on whether the comparisons to be made are unimodal or cross-modal. We test this restriction in an experiment using the delayed compensation method, a new extension of the standard method of eliciting intertemporal preferences that allows for assessment of time preference for nonmonetary and discrete outcomes, as well as for both cross-modal and unimodal comparisons. Participants were much more averse to delay for unimodal than cross-modal decisions. We provide two potential explanations for this effect: one drawing on multiattribute choice, the other drawing on construal-level theory.
Data creators: |
Creator Name |
Affiliation |
ORCID (as URL) |
Cubitt Robin |
University of Nottingham |
|
|
Contributors: |
Name |
Affiliation |
ORCID (as URL) |
Read Daniel |
University of Warwick |
|
McDonald Rebecca |
University of Warwick |
|
|
Sponsors: |
Economic and Social Research Council
|
Grant reference: |
ES/K002201/1
|
Topic classification: |
Economics
|
Keywords: |
intertemporal choice, decision modelling, economics, behaviour and behavioural decision making, delay discounting
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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, Graham Loomes, Simon Gaechter, Shaun Hargreaves-Heap, Enrique Fatas, Robert MacKay, Robin Cubitt, Daniel Read, Theodore Turocy
|
Project dates: |
From | To |
---|
31 December 2012 | 30 September 2017 |
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Date published: |
05 Dec 2017 14:47
|
Last modified: |
05 Dec 2017 14:47
|
Collection period: |
Date from: | Date to: |
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31 December 2012 | 30 September 2017 |
|
Country: |
United Kingdom |
Data collection method: |
Experimental data. The study was programmed in Qualtrics and conducted online in August 2014 using the Amazon Mechanical Turk online labour market. After the tasks described below, participants answered follow-up questions and provided basic demographic information. |
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) |
Cubitt Robin |
University of Nottingham |
|
|
Contact: |
Name | Email | Affiliation | ORCID (as URL) |
---|
Cubitt, Robin | robin.cubitt@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: |
05 Dec 2017 14:47
|
|
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