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Identifying types in contest experiments

Author

Listed:
  • Francesco Fallucchi

    (Luxembourg Institute of Socio-Economic Research (LISER))

  • Andrea Mercatanti

    (Bank of Italy)

  • Jan Niederreiter

    (IMT Institute for Advanced Studies)

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.

Suggested Citation

  • Francesco Fallucchi & Andrea Mercatanti & Jan Niederreiter, 2021. "Identifying types in contest experiments," International Journal of Game Theory, Springer;Game Theory Society, vol. 50(1), pages 39-61, March.
  • Handle: RePEc:spr:jogath:v:50:y:2021:i:1:d:10.1007_s00182-020-00738-w
    DOI: 10.1007/s00182-020-00738-w
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    2. Friedel Bolle & Jonathan H. W. Tan, 2021. "Behavioral types of the dark side: identifying heterogeneous conflict strategies," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 7(1), pages 49-63, September.

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