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We described a method to solve deterministic and stochastic Walrasequilibrium models based on associating with the given problem a bifunctionwhose maxinf-points turn out to be equilibrium points. The numerical procedurerelies on an augmentation of this bifunction. Convergence of the proposedprocedure is proved by relying on the relevant lopsided convergence. In thedynamic versions of our models, deterministic and stochastic, we are mostlyconcerned with models that equip the agents with a mechanism to transfer goodsfrom one time period to the next, possibly simply savings, but also allows forthe transformation of goods via production

Solving deterministic and stochastic equilibrium problems via augmented Walrasian