We experimentally test overconfidence in investment decisions by offering participants the possibility to substitute their own for alternative investment choices. Overall, 149 subjects participated in two experiments, one with just one risky asset, the other with two risky assets. Overconfidence...

Overall, 72 subjects invest their endowment in four risky assets. Each combination of assets yields the same expected return and variance of returns. Illusion of expertise prevails when one prefers nevertheless the self-selected portfolio. After being randomly assigned to groups of four,...

Can one deamp;#64257;ne and test the hypothesis of (un)bounded rationality in stochastic choice tasks without endorsing Bayesianism? Similar to the state speciamp;#64257;city of assets, we rely on state-speciamp;#64257;c goal formation. In a given choice task, the list of state-speciamp;#64257;c goal levels is...

This paper analyzes vertical cross-shareholding, that is, the mutual holding of a minority of shares between vertically related firms. First, we explore the issue in a game-theoretic model and show that cross-shareholding is sufficient to obtain efficient outcomes. We then test the model's...

This volume contains sixteen original articles documenting recent progress in understanding strategic behaviour. In their variety they reflect an entire spectrum of coexisting approaches: from orthodox game theory via behavioural game theory, bounded rationality and economic psychology to...

We experimentally analyze leading by example in a public goods game with two permanent and two temporary group members. Our results show that leadership when permanent and temporary members interact leads to lower contributions than interaction without leadership.

Abstract We experimentally study intention-based social influence of group members on behavior in standard and modified Ultimatum and Impunity games. Standard games allow for bi-dimensional strategy vectors whereas they are uni-dimensional in modified games. The latter reveal more clearly...