In a bribery experiment, we test the hypothesis that distributive fairness considerations make relatively well-paid public officials less corruptible. Corrupt decisions impose damages to workers whose wage is varied in two treatments. However, there is no apparent difference in behaviour.

This paper contributes to the ongoing methodological debate on context-free versus in-context presentation of experimental tasks. We report an experiment using the paradigm of a bribery experiment. In one condition, the task is presented in a typical bribery context, the other one uses abstract...

We study a model of local evolution. Players are located on a network and play games agains their neighbors. Players are characterized by three properties: (1) The stage game strategies they use agains their neighbors. (2) The repeated game strategy that determines the former. (3) A learning...

This paper deals with double lobbying: several bureaucrats participate in joint lobbying to get a high total departmental budget, but they also engage in antagonistic lobbying to reap as high a share of the total budget as possible. The antagonistic lobbying constitutes a contest among the...

In this paper we study the impact of the income distribution on innovation through the demand for quality goods. For simplicity, we assume that there are two types of consumers, rich and poor. The income distribution is measured by the population share of the poor and the relative income of the...

The paper deals with bounded rationality understood in the tradition of H.A. Simon. Fundamental problems and theoretical issues are discussed. Special emphasis is put on aspiration adaptation theory. Further remarks concern basic models of decision behavior (like learning and expectation...

The Paper reports a basic Experiment on the option pricing approach. Each trader with an increasing utility for money values the option with his arbitrage free price, which is independent of the probability of the stock movement. The experimental data show that the traiders learn to exploit more...