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

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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.
Original languageEnglish
Pages (from-to)238–254
Number of pages17
JournalJournal of the Economic Science Association-JESA
Volume5
Early online date24 Nov 2018
DOIs
Publication statusPublished - Dec 2019

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    • Network for Intergrated Behavioural Science

      Starmer, C. (Principal Investigator), Turocy, T. (Principal Investigator), Barr, A. (Co-Investigator), Brown, G. (Co-Investigator), Chater, N. (Co-Investigator), Cubitt, R. (Co-Investigator), Fatas, E. (Co-Investigator), Gathergood, J. (Co-Investigator), Gosling, S. (Co-Investigator), Lomes, G. (Co-Investigator), MacKay, R. (Co-Investigator), Poulsen, A. (Co-Investigator), Read, D. (Co-Investigator), Stewart, N. (Co-Investigator) & Sugden, R. (Co-Investigator)

      Economic and Social Research Council

      31/12/12 → 30/12/16

      Project: Research

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