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

Francesco Fallucchi, R. Andrew Luccasen, Theodore L. Turocy

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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
Volume5
Early online date24 Nov 2018
DOIs
Publication statusPublished - Dec 2019

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