| Registro completo |
| Provedor de dados: |
AgEcon
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| País: |
United States
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| Título: |
A COMPUTATIONAL LABORATORY FOR EVOLUTIONARY TRADE NETWORKS
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| Autores: |
Tesfatsion, Leigh
Stewart, Deron
McFadzean, David
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| Data: |
2000-12-05
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| Ano: |
2000
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| Palavras-chave: |
Computational laboratory
Buyer-seller trade networks
Evolutionary game
Network animation
Agent-based computational economics
C++ class framework
Labor market experiments
International Relations/Trade
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| Resumo: |
This study presents, motivates, and illustrates the use of a computational laboratory for the investigation of evolutionary trade network formation among strategically interacting buyers, sellers, and dealers. The computational laboratory, referred to as the Trade Network Game Laboratory (TNG Lab), is targetted for the Microsoft Windows desktop. The TNG Lab is both modular and extensible and has a clear, easily operated graphical use interface. It permits visualization of the formation and evolution of trade networks by means of real-time animations. Data tables and charts reporting descriptive performance statistics are also provided in real time. The capabilities of the TNG Lab are demonstrated by means of labor market experiments.
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| Tipo: |
Working or Discussion Paper
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| Idioma: |
Inglês
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| Identificador: |
2342
http://purl.umn.edu/18199
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| Editor: |
AgEcon Search
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| Relação: |
Iowa State University>Department of Economics>Economic Reports
Economic Report 53
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| Formato: |
13
application/pdf
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