Model Evolution of Heterogeneous Beliefs in an Network Economy
AbstractWe model a simple communication network model for the evolution of heterogeneous beliefs in an overlapping generation economy. Each agent gathers information from his contacts and forms an inflation forecast based on this information, using the belief generating procedures. When the actual inflation is realised, an agent is in a position to learn i.e. adjust his own network strategy and belief. The learning is modelled as an evolving network process i.e. a local network of agents, with non-zero costs of communication. The network economy as a whole acts efficiently in achieving convergence to the Pareto superior equilibrium, in which agent"s perception of information is local and is subject to available resource.
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Bibliographic InfoPaper provided by Society for Computational Economics in its series Computing in Economics and Finance 2004 with number 69.
Date of creation: 11 Aug 2004
Date of revision:
Network Economy; Belief Generating Procedures; Learning; Local Interactions;
Find related papers by JEL classification:
- C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
This paper has been announced in the following NEP Reports:
- NEP-ALL-2004-08-16 (All new papers)
- NEP-EVO-2004-08-16 (Evolutionary Economics)
- NEP-NET-2004-08-16 (Network Economics)
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