How traders influence their neighbours: modelling social evolutionary processes and peer effects in agricultural trade networks

DOI10.1016/j.jedc.2020.103944OpenAlexW3034283139WikidataQ112856198 ScholiaQ112856198MaRDI QIDQ2661653

Jan Salecker, Thomas Kopp

Publication date: 7 April 2021

Published in: Journal of Economic Dynamics \& Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jedc.2020.103944

zbMATH Keywords

rubbernetworksagent-based modellingcomplex adaptive systemsIndonesiaagricultural trade

Mathematics Subject Classification ID

Game theory, economics, finance, and other social and behavioral sciences (91-XX)

Uses Software

• NetLogo
• GENALG
• nlrx

Cites Work

• Unnamed Item
• Studying complex adaptive systems
• Information and volatility
• Evolving traders and the business school with genetic programming: A new architecture of the agent-based artificial stock market
• Agent-based computational transaction cost economics
• Applications of agent-based modelling and simulation in the agri-food supply chains
• Network structure andn-dependence in agent-based herding models
• Drawing graphs. Methods and models

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