Ziel des Beitrags ist es, die Rationalität von Stakeholdern des Agribusiness mit einem Entscheidungsexperiment zu analysieren. Dazu wurden Landwirte und Agrarhändler3 gebeten, Lotterielose zu bewerten. So konnte die Konsistenz im Risikoverhalten und die Präzision im Umgang mit Information...

An agreement about a lower bound for admissible tax rates can reduce the equilibrium tax rate (and thus welfare) in tax competition among fully symmetric countries. This is shown in an infinitely repeated game where the stage game describes the standard tax competition model with source-based...

This paper analyzes “influence peddling” in a model that portrays interactions involving human capital transfer and collusion-building, in which each government official regulates multiple firms simultaneously. We show that there exists a collusion maximizing equilibrium between a sequence...

We characterize the class of symmetric two-player games in which tit-for-tat cannot be beaten even by very sophisticated opponents in a repeated game. It turns out to be the class of exact potential games. More generally, there is a class of simple imitation rules that includes tit-for-tat but...

<Para ID="Par1">This paper presents a model of social capital and social network formation. The key interaction within the model is that whom an individual chooses to become friends with affects the value (social capital) of the friendship. In the model, how a player searches for and then forms friendships...</para>

We consider two person zero-sum repeated games with lack of information on one side and with payoffs of special “separable” form. The solutions for these games are reduced to the solutions for families of special transportation type problems with recursive structure. We illustrate our...

We consider zero-sum Markov games with incomplete information. Here, the second player is never informed about the current state of the underlying Markov chain. The existence of a value and of optimal strategies for both players is shown. In particular, we present finite algorithms for computing...

This paper introduces epsilon-stability as a generalization of the concept of stochastic stability in learning and evolutionary game dynamics. An outcome of a model of stochastic evolutionary dynamics is said to be epsilon-stable in the long-run if for a given model of mistakes it maximizes its...