Identifying discrete behavioural types: A re-analysis of public goods game contributions by hierarchical clustering

Fallucchi, Francesco, Luccasen, R. Andrew and Turocy, Theodore L. ORCID: https://orcid.org/0000-0002-2265-844X (2019) Identifying discrete behavioural types: A re-analysis of public goods game contributions by hierarchical clustering. Journal of the Economic Science Association-JESA, 5. 238–254. ISSN 2199-6784

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Abstract

We propose a framework for identifying discrete behavioural types in experimental data. We re-analyse data from six previous studies of public goods voluntary contributions games. Using hierarchical clustering analysis, we construct a typology of behaviour based on a simi- larity measure between strategies. We identify four types with distinct sterotypical behaviours, which together account for about 90% of participants. Compared to previous approaches, our method produces a classification in which different types are more clearly distinguished in terms of strategic behaviour and the resulting economic implications.

Item Type:	Article
Faculty \ School:	Faculty of Social Sciences > School of Economics
UEA Research Groups:	Faculty of Social Sciences > Research Centres > Centre for Behavioural and Experimental Social Sciences Faculty of Social Sciences > Research Groups > Environment, Resources and Conflict Faculty of Social Sciences > Research Groups > Economic Theory Faculty of Social Sciences > Research Groups > Experimental Economics (former - to 2017) Faculty of Social Sciences > Research Centres > Centre for Competition Policy Faculty of Social Sciences > Research Groups > Behavioural Economics
Depositing User:	LivePure Connector
Date Deposited:	12 Nov 2018 15:30
Last Modified:	02 Dec 2024 01:29
URI:	https://ueaeprints.uea.ac.uk/id/eprint/68859
DOI:	10.1007/s40881-018-0060-7

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