Summary information

Study title

Modelling imprecise preferences and identifying the implications for theory and policy

Creator

Loomes, G, University of Warwick

Study number / PID

850908 (UKDA)

10.5255/UKDA-SN-850908 (DOI)

Data access

Restricted

Series

Not available

Abstract

In order to understand the way the economy behaves we need a good understanding of how individuals make decisions: how they weigh different goods and services against their costs, how they judge risks, how they balance present and future considerations. Traditional economic models portray people as behaving according to highly articulated rational preferences. But these models lack psychological insight and behavioural realism and often fail to provide good descriptions or predictions. This research aims to develop more realistic decision models which take partial and imprecise preferences as a starting point. It will run experiments to discover more about the nature and variability of people's preferences. Better models of 'boundedly rational' consumers may improve our understanding of why and how markets fail and how to organise them more effectively. The project will also investigate how to collect more useful and reliable data from members of the public about their preferences for health care, safety improvements and environment benefits. Surveys based on conventional assumptions have often generated anomalies and inconsistencies as judged by the usual standards. A different modelling strategy may improve survey instruments and help produce data that are more appropriate and robust for public policy purposes.

Keywords

Methodology

Data collection period

01/09/2009 - 28/02/2013

Country

United Kingdom

Time dimension

Not available

Analysis unit

Individual

Universe

Not available

Sampling procedure

Not available

Kind of data

Numeric

Data collection mode

Experiments

Funding information

Grant number

RES-051-27-0248

Access

Publisher

UK Data Service

Publication year

2013

Terms of data access

The Data Collection is available for download to users registered with the UK Data Service.

Related publications

Not available