Modeling Aggregate Behavior And Fluctuations In Economics


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Modeling Aggregate Behavior and Fluctuations in Economics


Modeling Aggregate Behavior and Fluctuations in Economics

Author: Masanao Aoki

language: en

Publisher: Cambridge University Press

Release Date: 2001-12-20


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This book has two components: stochastic dynamics and stochastic random combinatorial analysis. The first discusses evolving patterns of interactions of a large but finite number of agents of several types. Changes of agent types or their choices or decisions over time are formulated as jump Markov processes with suitably specified transition rates: optimisations by agents make these rates generally endogenous. Probabilistic equilibrium selection rules are also discussed, together with the distributions of relative sizes of the bases of attraction. As the number of agents approaches infinity, we recover deterministic macroeconomic relations of more conventional economic models. The second component analyses how agents form clusters of various sizes. This has applications for discussing sizes or shares of markets by various agents which involve some combinatorial analysis patterned after the population genetics literature. These are shown to be relevant to distributions of returns to assets, volatility of returns, and power laws.

Modeling Aggregate Behavior and Fluctuations in Economics


Modeling Aggregate Behavior and Fluctuations in Economics

Author: Masanao Aoki

language: en

Publisher:

Release Date: 2004


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Handbook of Computational Economics


Handbook of Computational Economics

Author: Leigh Tesfatsion

language: en

Publisher: Elsevier

Release Date: 2006-05-15


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The explosive growth in computational power over the past several decades offers new tools and opportunities for economists. This handbook volume surveys recent research on Agent-based Computational Economics (ACE), the computational study of economic processes modeled as dynamic systems of interacting agents. Empirical referents for "agents" in ACE models can range from individuals or social groups with learning capabilities to physical world features with no cognitive function. Topics covered include: learning; empirical validation; network economics; social dynamics; financial markets; innovation and technological change; organizations; market design; automated markets and trading agents; political economy; social-ecological systems; computational laboratory development; and general methodological issues.*Every volume contains contributions from leading researchers*Each Handbook presents an accurate, self-contained survey of a particular topic *The series provides comprehensive and accessible surveys