Exchange Networks with Stochastic Matching

This paper tries to prove that the outcomes stemming from interactions on assignment markets bring about coordination in case of a stochastic matching subject to various forms of expectations. We consider an exchange network with stochastic matching between the pairs of players and analyze the dynam...

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Main Author: Arnaud Zlatko Dragicevic
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Games
Subjects:
Online Access:https://www.mdpi.com/2073-4336/14/1/2
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author Arnaud Zlatko Dragicevic
author_facet Arnaud Zlatko Dragicevic
author_sort Arnaud Zlatko Dragicevic
collection DOAJ
description This paper tries to prove that the outcomes stemming from interactions on assignment markets bring about coordination in case of a stochastic matching subject to various forms of expectations. We consider an exchange network with stochastic matching between the pairs of players and analyze the dynamics of bargaining in such a market. The cases of convergent expectations, divergent expectations and of social preferences are studied. The extension of earlier works lies in the consideration of a stochastic matching on a graph dependent on the weights of edges. The results show that, in all three cases, the dynamics converges rapidly to the generalized Nash bargaining solution, which is an equilibrium that combines notions of stability and fairness. In the first two scenarios, the numerical simulations reveal that the convergence toward a fixed point is speedily achieved at the value of the outside option. In the third scenario, the fixed point promptly converges to the value of the outside option supplemented by the surplus share.
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spelling doaj.art-c15fcc0ef9a74ab4ad29bd49fb776a8c2023-11-16T20:38:35ZengMDPI AGGames2073-43362022-12-01141210.3390/g14010002Exchange Networks with Stochastic MatchingArnaud Zlatko Dragicevic0Faculty of Economics, Chulalongkorn University, 254 Phaya Thai Rd, Wang Mai, Pathum Wan, Bangkok 10330, ThailandThis paper tries to prove that the outcomes stemming from interactions on assignment markets bring about coordination in case of a stochastic matching subject to various forms of expectations. We consider an exchange network with stochastic matching between the pairs of players and analyze the dynamics of bargaining in such a market. The cases of convergent expectations, divergent expectations and of social preferences are studied. The extension of earlier works lies in the consideration of a stochastic matching on a graph dependent on the weights of edges. The results show that, in all three cases, the dynamics converges rapidly to the generalized Nash bargaining solution, which is an equilibrium that combines notions of stability and fairness. In the first two scenarios, the numerical simulations reveal that the convergence toward a fixed point is speedily achieved at the value of the outside option. In the third scenario, the fixed point promptly converges to the value of the outside option supplemented by the surplus share.https://www.mdpi.com/2073-4336/14/1/2exchange networksgames on graphsstochastic matchingbargaining
spellingShingle Arnaud Zlatko Dragicevic
Exchange Networks with Stochastic Matching
Games
exchange networks
games on graphs
stochastic matching
bargaining
title Exchange Networks with Stochastic Matching
title_full Exchange Networks with Stochastic Matching
title_fullStr Exchange Networks with Stochastic Matching
title_full_unstemmed Exchange Networks with Stochastic Matching
title_short Exchange Networks with Stochastic Matching
title_sort exchange networks with stochastic matching
topic exchange networks
games on graphs
stochastic matching
bargaining
url https://www.mdpi.com/2073-4336/14/1/2
work_keys_str_mv AT arnaudzlatkodragicevic exchangenetworkswithstochasticmatching