We present a simple two-steps procedure for a within-subject test of the inequity aversion model of Fehr and Schmidt (1999). In the first step, subjects played modified ultimatum and dictator games and were classified according to their preferences. In the second step, subjects with specific...

We present a simple two-steps procedure for a within-subject test of the inequity aversion model of Fehr and Schmidt (1999). In the first step, subjects played modified ultimatum and dictator games and were classified according to their preferences. In the second step, subjects with specific...

In this paper, we analyse if individual inequality aversion measured with simple experimental games depends on whether the monetary endowment in these games is either a windfall gain ("house money") or a reward for a certain effort-related performance. Moreover, we analyse whether the way of...

Non-monotone incentive structures, which - according to theory - are able to induce optimal behavior, are often regarded as empirically less relevant for labor relationships. We compare the performance of a theoretically optimal non-monotone contract with a monotone one under controlled...

This paper explores the question whether boundedly rational agents learn to behave optimally when asked to voluntarily contribute to a public good. The decision process of individuals is described by an Evolutionary Algorithm. We analyze the learning process of purely and impurely altruistic...

Replicator dynamics and replication as used in evolutionary algorithms are, due to their most basic forms, structurally the same. This short note will prove this thesis. Although this finding is clear cut and easy to show, it is of great importance for the not yet united families of game...

This article tries to connect two separate strands of literature concerning genetic algorithms. On the one hand, extensive research took place in mathematics and closely related sciences in order to find out more about the properties of genetic algorithms as stochastic processes. On the other...

This paper tries to connect the theory of genetic algorithm (GA) learning to evolutionary game theory. It is shown that economic learning via genetic algorithms can be described as a specific form of evolutionary game. It will be pointed out that GA learning results in a series of near Nash...

Dieser Beitrag bietet eine Einführung in eine Gruppe moderner Algorithmen, den sogenannten evolutionären Optimierungsverfahren. Anhand eines einfachen Beispiels wird die grundsätzliche Funktionsweise dieser Algorithmen skizziert. Darüberhinaus wird ein Überblick über die...

The paper presents an extended version of the consumer choice problem. Different from the standard model, prices are not fixed but arise from Walrasian interactions of total demand and a stylized supply function for each of the goods. Three different types of evolutionary algorithms are set up...