Computational Economics: Heterogeneous Agent Modeling

Business & Finance, Economics, Statistics, Management & Leadership, Decision Making & Problem Solving
Cover of the book Computational Economics: Heterogeneous Agent Modeling by , Elsevier Science
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Author: ISBN: 9780444641328
Publisher: Elsevier Science Publication: June 27, 2018
Imprint: North Holland Language: English
Author:
ISBN: 9780444641328
Publisher: Elsevier Science
Publication: June 27, 2018
Imprint: North Holland
Language: English

Handbook of Computational Economics: Heterogeneous Agent Modeling, Volume Four, focuses on heterogeneous agent models, emphasizing recent advances in macroeconomics (including DSGE), finance, empirical validation and experiments, networks and related applications. Capturing the advances made since the publication of Volume Two (Tesfatsion & Judd, 2006), it provides high-level literature with sections devoted to Macroeconomics, Finance, Empirical Validation and Experiments, Networks, and other applications, including Innovation Diffusion in Heterogeneous Populations, Market Design and Electricity Markets, and a final section on Perspectives on Heterogeneity.

  • Helps readers fully understand the dynamic properties of realistically rendered economic systems
  • Emphasizes detailed specifications of structural conditions, institutional arrangements and behavioral dispositions
  • Provides broad assessments that can lead researchers to recognize new synergies and opportunities
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Handbook of Computational Economics: Heterogeneous Agent Modeling, Volume Four, focuses on heterogeneous agent models, emphasizing recent advances in macroeconomics (including DSGE), finance, empirical validation and experiments, networks and related applications. Capturing the advances made since the publication of Volume Two (Tesfatsion & Judd, 2006), it provides high-level literature with sections devoted to Macroeconomics, Finance, Empirical Validation and Experiments, Networks, and other applications, including Innovation Diffusion in Heterogeneous Populations, Market Design and Electricity Markets, and a final section on Perspectives on Heterogeneity.

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