Identifying types in contest experiments

Francesco Fallucchi, Andrea Mercatanti () and Jan Niederreiter ()
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Jan Niederreiter: IMT Institute for Advanced Studies

International Journal of Game Theory, 2021, vol. 50, issue 1, No 3, 39-61

Abstract: 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.

Keywords: Experimetrics; Behavioral types; Experiment; Contest; C-Lasso; C38; C57; C73 (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s00182-020-00738-w

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