In a duopoly market, aspiration levels express how much sellers want to earn given their expectations about the other's behavior. We augment the sellers' decision task by eliciting their profit aspiration. In a first experimental phase, whenever satisficing is not possible, sales choices, point...

We analyze dynamic local interaction in population games where the local interaction structure (modeled as a graph) can change over time: A stochastic process generates a random sequence of graphs. This contrasts with models where the initial interaction structure (represented by a deterministic...

In repeated public good experiments, reciprocity helps to sustain high levels of cooperation. Can this be achieved by location choices in addition to making contributions? It is more realistic to rely on an intuitive neighborhood model for community members who interact repeatedly. In our...

Approximate truth refers to the principle that border cases should be analyzed by solving generic cases and solving border cases as limits of generic ones (Brennan et al., 2008). Our study experimentally explores whether this conceptual principle is also behaviorally appealing. To do so, we...

Most models of labor markets and (un)employment neglect how competition among firms or sectors of the economy affects their hiring of workers and working times. Our approach pays special attention to such effects by proposing a complex stage game where firms invest in capital equipment before...

We present an experiment where two players bargain with a third player. They can bargain either separately or form a joint venture to bargain collectively. Our theoretical benchmark solution predicts decentralized bargaining, as only one player has an interest in forming a joint venture....

Starting point of our (indirect) evolutionary analysis is the sequential bargaining model of Manning (1987) who distinguishes between trade union's power in initial wage and in later employment negotiations. By linking two such collective bargaining situations we can say which of the two...