Evolutionary dynamics on infinite strategy spaces

Summary. The study of evolutionary dynamics was so far mainly restricted to finite strategy spaces. In this paper we show that this unsatisfying restriction is unnecessary. We specify a simple condition under which the continuous time replicator dynamics are well defined for the case of infinite strategy spaces. Furthermore, we provide new conditions for the stability of rest points and show that even strict equilibria may be unstable. Finally, we apply this general theory to a number of applications like the Nash demand game, the War of Attrition, linear-quadratic games, the harvest preemption game, and games with mixed strategies. Received: June 25, 1999; revised version: January 31, 2000     

The Effects of Average Norm Model Regulation: The Case of Electricity Distribution in Sweden

Following the reform of energy sectors, some countries have used engineering norm models in incentive regulation of network utilities. In 2003, Sweden adopted this approach to regulation of electricity distribution networks. This paper examines whether the norm models represent the real networks and create incentives for performance improvement. We analyse data from 138 network concession holders between 2000 and 2007. The results show that norm models are not adequate representations of real networks. Also, utilities that perform better than their norm models tend to behave opportunistically. Finally, we find that private utilities respond more strongly to incentives.