The DGAS-Sim(ulator) simulates the components of the Grid middleware that are involved in the job scheduling process, reflecting the architecture of the Workload Management System of the European DataGrid project. Its purpose is to study the impact of different resource pricing schemes and resource brokering strategies on workload balancing. In this paper we present further simulation results for a price-sensitive utility function (the resource broker always chooses the most economic computing element) and the Hybrid Pricing Model (fixed base prices and linear price adjustments within fixed variation limits to reflect the current workload of the computing element). We specifically consider a Grid economy scenario with widely overlapping domains of the prices of the single resources and compare the outcome with our previously presented results. Copyright © 2005 John Wiley & Sons, Ltd.