Identifying types in contest experiments

Francesco Fallucchi, Andrea Mercatanti, Jan Niederreiter

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    Abstract

    We apply the classifier-Lasso (Su et al., 2016) to detect the presence of latent types in two data sets of previous contest experiments, one that keeps the grouping of contestants fixed over the experiment and one that randomly regroups contestants after each round. Our results suggest that there exist three distinct types of players in both contest regimes. The majority of contestants in fixed groups behaves reciprocal to opponents’ previous choices. A higher share of reciprocators per group is associated to lower average overspending which hints at cooperative attempts. For experiments in which contestants are regrouped, we find a significantly lower share of ‘reciprocators’ and no significant association between the share of reciprocators and average efforts.
    Original languageEnglish
    Pages (from-to)39-61
    Number of pages23
    JournalInternational Journal of Game Theory
    Volume50
    Issue number1
    Early online date28 Oct 2020
    DOIs
    Publication statusPublished - Mar 2021

    Keywords

    • Experimetrics
    • Behavioral types
    • Experiment
    • Contest
    • C-Lasso

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