We analyze the doping behavior of heterogeneous athletes in an environment of private information. In a n-player strategic game, modeled as an all-pay auction, each athlete has private information about his actual physical ability and choses the amount of performance-enhancing drugs. The use of...

This paper discusses the strategic role of mismatching, where players voluntarily form inefficient teams or forego the formation of efficient teams, respectively. Strategic mismatching can be rational when players realize a competitive advantage (e.g. harming other competitors). In addition, the...

This paper discusses the strategic role of mismatching, where players voluntarily form inefficient teams or forego the formation of efficient teams, respectively. Strategic mismatching can be rational when players realize a competitive advantage (e.g. harming other competitors). In addition, the...

We analyze the doping behavior of heterogeneous athletes in an environment of private information. In a n-player strategic game, modeled as an all-pay auction, each athlete has private information about his actual physical ability and choses the amount of performance-enhancing drugs. The use of...

We modify the principal-agent model with moral hazard by assuming that the agent is expectation-based loss averse according to Köszegi and Rabin (2006, 2007). The optimal contract is a binary payment scheme even for a rich performance measure, where standard preferences predict a fully...

We modify the principal-agent model with moral hazard by assuming that the agent is expectation-based loss averse according to Köszegi and Rabin (2006, 2007). The optimal contract is a binary payment scheme even for a rich performance measure, where standard preferences predict a fully...

We extend Akerlof (1970)'s 'Market for Lemons' by assuming that some buyers are overconfident. Buyers in our model receive a noisy signal about the quality of the good that is on display for sale. Overconfident buyers do not update according to Bayes' rule but take the noisy signal at face...