We give sufficient conditions for a non-zero sum discounted stochastic game with compact and convex action spaces and with norm-continuous transition probabilities, but with possibly unbounded state space to have a N ash equilibrium in homogeneous Markov strategies that depends in a Lipsehitz...

Modern 'principal-agent theory' has made a lot of progress in proposing theoretical Solutions to agency problems. This paper contributes to a better understanding of behavior in agency situations. In particular, we provide experimental evidence on offered contracts and effort choices in a simple...

In a model with private information of the worker about her ability and unobservable effort choice, the role of public and private employment services is analyzed. The coexistence of an inefficient employment exchange and an efficient private agency may lead to optimal screening with first best...

In many auctions, the auctioneer is an agent of the seller. This delegation invites corruption. In this paper we propose a model of corruption, examine how corruption affects the auction game, how the anticipation of corruption affects bidding, and how it altogether changes the revenue ranking...

Studying evolutionarily successful behavior we show in a general framework that when individuals maximizing payoff differentials invest resources in punishing others. Interestingly, these investments are increasing in individuals, own wealth and decreasing in the wealth of others.

The findings on the ultimatum game are considered as belonging to the most robust experimental results. In this paper we present a slightly altered version of the mini ultimatum game of Bolton and Zwick (1995). Whereas in the latter exactly equal splits were feasible in our games these were...

The study of evolutionary dynamics was so far mainly restricted to finite strategy spaces. In this paper we show that this restriction is in most cases unnecessary. We give a mild condition under which the continuous time replicator dynamics are well defined for infinite strategy spaces....