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Solving Deterministic and Stochastic Equilibrium Problems via Augmented Walrasian

Author

Listed:
  • Julio Deride

    (University of California Davis)

  • Alejandro Jofré

    (Universidad de Chile)

  • Roger J-B Wets

    (University of California Davis)

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.

Suggested Citation

  • Julio Deride & Alejandro Jofré & Roger J-B Wets, 2019. "Solving Deterministic and Stochastic Equilibrium Problems via Augmented Walrasian," Computational Economics, Springer;Society for Computational Economics, vol. 53(1), pages 315-342, January.
    • Handle: RePEc:kap:compec:v:53:y:2019:i:1:d:10.1007_s10614-017-9733-1
    DOI: 10.1007/s10614-017-9733-1
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    References listed on IDEAS

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    Cited by:

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