We analyze an experimental public goods game in which group members can endogenously determine whether they want to supplement a standard voluntary contribution mechanism with the possibility of rewarding or punishing other group members. We find a large and positive effect of endogenous...

We analyze linear, weakest-link and best-shot public goods games in which a distinguished team member, the team allocator, has property rights over the benefits from the public good and can distribute them among team members. These team allocator games are intended to capture natural asymmetries...

We analyze linear, weakest-link and best-shot public goods games in which a distinguished team member, the team allocator, has property rights over the benefits from the public good and can distribute them among team members. These team allocator games are intended to capture natural asymmetries...

The paper presents the concept of an imitation equilibrium and explores it in the context of some simple oligopoly models. The concept applies to normal form games enriched by a reference structure specifying a reference group for every player. The reference group is a set of other players, whom...

In this paper we introduce four new learning models: impulse balance learning, impulse matching learning, action-sampling learning, and payof-sampling learning. With this models and together with the models of self-tuning EWA learning and reinforcement learning, we conduct simulations over 12...

In this paper, we introduce two new learning models: impulse-matching learning and action-sampling learning. These two models together with the models of self-tuning EWA and reinforcement learning are applied to 12 different 2 x 2 games and their results are compared with the results from...

In this paper, we introduce two new learning models: impulse-matching learning and action-sampling learning. These two models together with the models of self-tuning EWA and reinforcement learning are applied to 12 different 2 x 2 games and their results are compared with the results from...

In this paper we introduce four new learning models: impulse balance learning, impulse matching learning, action-sampling learning, and payoff-sampling learning. With this models and together with the models of self- tuning EWA learning and reinforcement learning, we conduct simulations over 12...

In this paper, we introduce two new learning models: impulse-matching learning and action-sampling learning. These two models together with the models of self-tuning EWA and reinforcement learning are applied to 12 different 2 x 2 games and their results are compared with the results from...