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Provedor de dados:  AgEcon
País:  United States
Título:  GALE-SHAPLEY MATCHING IN AN EVOLUTIONARY TRADE NETWORK GAME
Autores:  Tesfatsion, Leigh
Data:  1998-05-28
Ano:  1998
Palavras-chave:  Evolutionary game
Gale-Shapley matching
Iterated prisoners' dilemma
Trade networks
Endogenous interactions
Agent-based computational economics
International Relations/Trade
C7
C8
C9
D8
D4
Resumo:  For a postscript copy of this paper, click <a href="/Data/isu/er43.ps"> here. </A> This study investigates the performance of Gale-Shapley matching in an evolutionary market context. Computational experimental findings are reported for an evolutionary match-and-play trade network game in which resource-constrained traders repeatedly choose and refuse trade partners in accordance with Gale-Shapley matching, participate in risky trades modelled as two-person prisoner's dilemma games, and evolve their trade behavior over time. Particular attention is focused on correlations between ex ante market structure and the formation of trade networks, and between trade network formation and the types of trade behavior and social welfare outcomes that these trade networks support.
Tipo:  Working or Discussion Paper
Idioma:  Inglês
Identificador:  782

http://purl.umn.edu/18200
Editor:  AgEcon Search
Relação:  Iowa State University&gt;Department of Economics&gt;Economic Reports
Economic Report 43
Formato:  40

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