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...

We systematically investigate prisoner's dilemma games and dictator games with valence framing. We find that give versus take frames influence subjects' behavior and beliefs in the prisoner's dilemma game but not in the dictator game

In a real-effort experiment, we investigate how the timing of discretionary bonuses affects the relationship between workers and managers. Average output is substantially higher if bonuses are paid in the middle rather than upfront or at the end, as workers increase first-period output to signal...

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 payof-sampling learning. With this models and together with the models of self-tuning EWA learning and reinforcement learning, we conduct simulations over 12...

To test and replicate the superstar effect reported by Brown (2011) we empirically study contests where a single entrant has an endogenously higher probability of winning. Unlike the previous literature, we test for the presence of the superstar effect in several different contexts. Ultimately,...