Herbert Dawid & Willi Semmler 
Computational Methods in Economic Dynamics [PDF ebook] 

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This volume is centered around the issue of market design and resulting market dynamics. The economic crisis of 2007-2009 has once again highlighted the importance of a proper design of market protocols and institutional details for economic dynamics and macroeconomics. Papers in this volume capture institutional details of particular markets, behavioral details of agents’ decision making as well as spillovers between markets and effects to the macroeconomy. Computational methods are used to replicate and understand market dynamics emerging from interaction of heterogeneous agents, and to develop models that have predictive power for complex market dynamics. Finally treatments of overlapping generations models and differential games with heterogeneous actors are provided.

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Table of Content

Editorial.- Market Dynamics With Heterogeneous Agents: Allocative Efficiency and Traders’ Protection Under Zero Intelligence Behavior.- Using Software Agents to Supplement Tests Conducted by Human Subjects.- Diversification Effect of Heterogeneous Beliefs.- Can Investors Benefit from Using Trading Rules Evolved by Genetic Programming? A Test of the Adaptive Efficiency of U.S. Stock Markets With Margin Trading Allowed.- Bankruptcy Prediction: A Comparison of Some Statistical and Machine Learning Techniques.- Dynamic Policy Perspectives: Testing Institutional Arrangements via Agent-Based Modeling: A U.S. Electricity Market Application.- Energy Shocks and Macroeconomic Stabilization Policies in an Agent-based Macro Model.- The Impact of Migration on Origin Countries: A Numerical Analysis.- An Algorithmic Equilibrium Solution for n-Person Dynamic Stackelberg Difference Games With Open-Loop Information Pattern.

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Language English ● Format PDF ● Pages 216 ● ISBN 9783642169434 ● File size 8.1 MB ● Editor Herbert Dawid & Willi Semmler ● Publisher Springer Berlin ● City Heidelberg ● Country DE ● Published 2011 ● Downloadable 24 months ● Currency EUR ● ID 2172330 ● Copy protection Social DRM

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