Solving deterministic and stochastic equilibrium problems via augmented Walrasian
Optimization and Control
2018-02-23 v1
Abstract
We described a method to solve deterministic and stochastic Walras equilibrium models based on associating with the given problem a bifunction whose maxinf-points turn out to be equilibrium points. The numerical procedure relies on an augmentation of this bifunction. Convergence of the proposed procedure is proved by relying on the relevant lopsided convergence. In the dynamic versions of our models, deterministic and stochastic, we are mostly concerned with models that equip the agents with a mechanism to transfer goods from one time period to the next, possibly simply savings, but also allows for the transformation of goods via production
Cite
@article{arxiv.1612.01441,
title = {Solving deterministic and stochastic equilibrium problems via augmented Walrasian},
author = {Julio Deride and Alejandro Jofré and Roger J-B Wets},
journal= {arXiv preprint arXiv:1612.01441},
year = {2018}
}