Cookies?
Library Header Image
LSE Research Online LSE Library Services

Trusting the trust game: an external validity analysis with a UK representative sample

Banerjee, Sanchayan ORCID: 0000-0002-0176-0429, Galizzi, Matteo M. and Hortala-Vallve, Rafael (2021) Trusting the trust game: an external validity analysis with a UK representative sample. Games, 12 (3). ISSN 2073-4336

[img] Text (games-12-00066) - Published Version
Available under License Creative Commons Attribution.

Download (1MB)

Identification Number: 10.3390/g12030066

Abstract

Using a nationally representative sample of 1052 respondents from the United Kingdom, we systematically tested the associations between the experimental trust game and a range of popular self-reported measures for trust, such as the General Social Survey (GSS) and the Rosenberg scale for self-reported trust. We find that, in our UK representative sample, the experimental trust game significantly and positively predicts generalised self-reported trust in the GSS. This association is robust across a number of alternative empirical specifications, which account for multiple hypotheses corrections and control for other social preferences as measured by the dictator game and the public good game, as well as for a broad range of individual characteristics, such as gender, age, education, and personal income. We discuss how these results generalise to nationally representative samples from six other Organisation for Economic Co-operation and Development (OECD) countries (France, Germany, Italy, Korea, Slovenia, and the US).

Item Type: Article
Official URL: https://www.mdpi.com/journal/games
Additional Information: © 2021 The Authors
Divisions: Geography & Environment
Psychological and Behavioural Science
Government
Subjects: B Philosophy. Psychology. Religion > BF Psychology
H Social Sciences > HM Sociology
Date Deposited: 07 Sep 2021 09:36
Last Modified: 17 Nov 2021 01:09
URI: http://eprints.lse.ac.uk/id/eprint/111862

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics