Electronic Commerce environments increasingly witness a conflict on the subject of e-privacy: While marketers want to maximize their customer knowledge and grasp the identity of their online users, consumers often want to stay anonymous and not reveal private information. The conflict suggests...

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...

Political stock markets (PSM) are sometimes seen as substitutes for opinion polls. On the bases of a behavioral model, specific preconditions were drawn out under which manipulation in PSM can weaken this argument. Evidence for manipulation is reported from the data of two separate PSM during...

We examine learning behavior in auctions and Fair division games with independent private values under two different price rules, first and second price. Participants face these four games repeatedly and submit complete bid functions rather than single bids. This allows us to examine whether...

In this paper we present an experiment on the false consensus effect. Unlike previous experiments, we provide monetary incentives for revealing the actual estimation of others' behavior. In each session and round sixteen subjects make a choice between two options simultaneously. Then they...

In auctions an outside seIler offers a commodity for sale and collects the revenue w hich is achieved. In fair division games the object is owned by the group of bidders. Consequently the auction's revenue is equally distributed among all bidders. In our experiment participants face four auction...

In this note we present an experiment to compare the two competing fairness theories by Bolton / Ockenfels and Fehr / Schmidt. For most experiments that these theories have previously been applied to, they make similar predictions so that it is difficult to compare their predictive accuracy. We...