Solving Deterministic and Stochastic Equilibrium Problems via Augmented Walrasian
Author
dc.contributor.author
Deride, Julio
Author
dc.contributor.author
Jofré Cáceres, René
Author
dc.contributor.author
Wets, Roger J-B
Admission date
dc.date.accessioned
2019-12-18T19:15:34Z
Available date
dc.date.available
2019-12-18T19:15:34Z
Publication date
dc.date.issued
2019
Cita de ítem
dc.identifier.citation
Comput Econ (2019) 53:315–342
es_ES
Identifier
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10.1007/s10614-017-9733-1
Identifier
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https://repositorio.uchile.cl/handle/2250/172950
Abstract
dc.description.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.
es_ES
Patrocinador
dc.description.sponsorship
United States Department of Defense
US Army Research Laboratory (ARL)
U.S. Army Research Office
W911NF-10-1-0246
W911NF-12-1-0273