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Procesos de restabilización en modelos de asignación bilateral

Authors: Millan Guerra, Beatriz Alejandra;

Procesos de restabilización en modelos de asignación bilateral

Abstract

Two-sided matching models have been widely used in labor markets and in school selection programs. The agents of a matching model are divided into two disjoint subsets, for example firms and workers. Each worker has an order of preference (salary, working conditions) over the firms, while these order their acceptable workers according to any suitability criterion to carry out the task. A result is one assignment of workers to the firm. One of the most important properties that any matching model solution must fulfill is stability. Great progress has been achieved in centralized markets using two-sided matching models, where a central entity produc-es stable matchings using variations of the Deferred Acceptance algo-rithm. In this work we extend the theory in a frame where it can be used in decentralized labor markets. We show how a market can have its stability back after a stable matching is decentralized by the leaving of some work-ers or the entrance of new firms.

Fil: Millan Guerra, Beatriz Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi". Universidad Nacional de San Luis. Facultad de Ciencias Físico, Matemáticas y Naturales. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi"; Argentina. Universidad Nacional de San Juan. Facultad de Filosofía, Humanidades y Artes; Argentina

LIV Reunión Anual Asociación Argentina de Economía Política

Universidad Nacional del Sur. Departamento de Economía

Bahía Blanca

Argentina

Country
Argentina
Keywords

MATCHING STABLE, DEFERRED ACCEPTANCE ALGORITHM, CHANGES IN THE POPULATION, https://purl.org/becyt/ford/1.1, https://purl.org/becyt/ford/1

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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