Solving Deterministic and Stochastic Equilibrium Problems via Augmented Walrasian

Deride, Julio; Jofre, Alejandro; Wets, R. J-B

Keywords: Walras equilibrium, Stochastic equilibrium, Lopsided convergence, epi-convergence, augmented walrasian, progressive hedging algorithm

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 two-stage 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.

Más información

Título de la Revista: COMPUTATIONAL ECONOMICS
Editorial: Springer
Fecha de publicación: 2017
Página de inicio: 1
Página final: 28
Idioma: english
Financiamiento/Sponsor: Basal CMM and U.S. Army Research Laboratory
DOI:

DOI 10.1007/s10614-017-9733-1