In this experimental study we analyse three collective and one individual punishment rule in a public good setting. We show that under all punishment rules cooperation is stronger and more sustainable than reported from settings without punishment. Moreover, we present evidence and explanations...

In the trust game first player 1 decides between non-cooperation or trust in reciprocity and then, in the latter case, player 2 between exploiting player 1 or rewarding him. In our experiment, player 2 can be a notorically rewarding player (this type is implemented as a robot strategy) or a...

In this note we study a very simple trial & error learning process in the context of a Cournot oligopoly. Without any knowledge of the payoff functions players increase, respectively decrease, their quantity by one unit as long as this leads to higher profits. We show that despite the absence of...

Updating behavior in cascade experiments is usually investigated on the basis of urn prediction. But urn predictions alone can only provide a very rough information on individual updating behavior. Therefore, we implement a BDM mechanism. Subjects have to submit maximum prices that they are...

In this paper individual overconfidence within the context of an experimental asset market is investigated. Overall, 72 participants traded one risky asset on six markets of 12 participants each. The results indicate that individuals were not generally overconfident. Moreover, overconfidence was...

In equal punishment games first the proposer suggests how to split the pie, i.e. a positive monetary reward. Unlike in the ultimatum game, the responder can decide among many (for proposer and responder) equal penalty payments. To exclude negative payoffs, punishment was bounded from above...

This article investigates whether decision makers intuitively optimize close to the normative prediction in entrepreneurial decision situations where their time must be allocated between a wage job and a newly formed venture. We offer an analytical model based on maximizing expected utility, and...

Robust learning experiments confront participants with structurally different decision environments which they encounter, furthermore, repeatedly. Since the decision format does not depend on the rules (of game), forward looking deliberation (the shadow of the future) can be detected by...

We examine the robustness of information cascades in laboratory experiments. Apart from the situation in which each player can obtain a signal for free (as in the experiment by Anderson and Holt, 1997, American Economic Review), the case of costly signals is studied where players decide whether...