We propose a framework for identifying discrete behavioural types in experimental data. We re-analyse data from six previous studies of public goods voluntary contribution games. Using hierarchical clustering analysis, we construct a typology of behaviour based on a similarity measure between strategies. We identify four types with distinct stereotypical behaviours, which together account for about 90% of participants. Compared to the 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.
(2019). Identifying discrete behavioural types: a re-analysis of public goods game contributions by hierarchical clustering [journal article - articolo]. In JOURNAL OF THE ECONOMIC SCIENCE ASSOCIATION. Retrieved from http://hdl.handle.net/10446/228089
Identifying discrete behavioural types: a re-analysis of public goods game contributions by hierarchical clustering
Fallucchi, Francesco;
2019-01-01
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 contribution games. Using hierarchical clustering analysis, we construct a typology of behaviour based on a similarity measure between strategies. We identify four types with distinct stereotypical behaviours, which together account for about 90% of participants. Compared to the 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.File | Dimensione del file | Formato | |
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