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...

Previous research indicates that risky and uncertain marginal returns from the public good significantly lower contributions. This paper presents experimental results illustrating that the effects of risk and uncertainty depend on the employed parameterization. Speci?cally, if the value of the...

The common prior assumption is pervasive in game-theoretic models with incomplete information. This paper investigates experimentally the importance of inducing a common prior in a two-person signaling game. For a specific probability distribution of the sender's type, the long-run behavior...

We investigate expectation formation in a controlled experimental en-vironment. Subjects are asked to predict the price in a standard asset pricingmodel. They do not have knowledge of the underlying market equilibrium equa-tions, but they know all past realized prices and their own predictions....

One of the main findings of a large body of gift exchange experiments is that in an incomplete contracts environment workers on average do not shirk and usually provide more than the minimum enforceable effort level. In general, 40 to 60 percent of the workers reward higher wages with higher...

Social preference models were originally constructed to explain two things: why people spend money to affect the earnings of others and why the income of others influences reported happiness. We test these models in a novel experimental situation where participants face a risky decision that...