Amb motiu del tancament d'estiu, la validació de documents es reprendrà a partir del 28 d'agost de 2026. Disculpeu les molèsties.
Con motivo del cierre de verano, la validación de documentos se reanudará a partir del 28 de agosto de 2026. Disculpad las molestias
Due to the summer closure, document validation will resume starting August 28, 2026. We apologize for any inconvenience.

Files

E98-32_Manresa.pdf (150.01 KB)

Document type

Working paper

Publication date

1998

Publication license

cc-by-nc-nd, (c) Manresa, 1998
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/43811

Can we identify Walrasian allocations?

Journal Title

Authors

Director/Tutor

Journal ISSN

Volume Title

Related resource

Abstract

[eng] We consider a discrete time, pure exchange infinite horizon economy with two or more consumers and at least one concumption good per period. Within the framework of decentralized mechanisms, we show that for a given consumption trade at any period of time, say at time one, the consumers will need, in general, an infinite dimensional (informational) space to identigy such a trade as an intemporal Walrasian one. However, we show and characterize a set of enviroments where the Walrasian trades at each period of time can be achieved as the equilibrium trades of a sequence of decentralized competitive mechanisms, using only both current prices and quantities to coordinate decisions.

Subject

Econometria, Equilibri (Economia), Microeconomia, Macroeconomia, Economia matemàtica

Subject (English)

Econometrics, Equilibrium (Economics), Microeconomics, Macroeconomics, Mathematical economics

Citation

Collections

UB Economics – Working Papers [ERE]
Documents de treball / Informes (Economia)

Citation

MANRESA, Antonio. Can we identify Walrasian allocations?. Documents de treball (Facultat d'Economia i Empresa. Espai de Recerca en Economia). 1998. Vol.  E98/032. ISSN 1136-8365. [consulted: 17 of August of 2026]. Available at: https://hdl.handle.net/2445/43811

Export metadata

JSON - METS

Share record