Brekke, Kjell Arne Golombek, Rolf Kaut, Michal Kittelsen, Sverre A.C. Wallace, Stein W.
Year of Publication:
CESifo Working Paper 4500
We present a simple approach to transform a deterministic numerical model, where several agents simultaneously make decisions, into a stochastic model. This approach, which builds on scenario aggregation, a numerical method developed to solve decision problems under uncertainty, is used to build a large stochastic numerical equilibrium model of the Western European energy markets. We use the stochastic model to analyze the impact of economic and political uncertainty on the Western European energy markets. We demonstrate that the equilibria under uncertainty differ significantly from the deterministic outcomes.