Economics with heterogeneous interacting agents : a practical guide to agent-based modeling /
This book offers a practical guide to Agent Based economic modeling, adopting a "learning by doing" approach to help the reader master the fundamental tools needed to create and analyze Agent Based models. After providing them with a basic "toolkit" for Agent Based modeling, it p...
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Full text (MCPHS users only) |
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| Other Authors: | , , , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Switzerland :
Springer,
2016
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| Series: | New economic windows.
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| Subjects: | |
| Local Note: | ProQuest Ebook Central |
Table of Contents:
- Foreword; Contents; Contributors; Introduction; 1 Getting Started: The Aggregation Conundrums and Basic Toolkits of Agent Based Modeling; 1.1 Understanding Heterogeneity and Interaction in Economic Models; 1.1.1 Aggregate Models with Boundlessly Rational Agents; 1.1.2 The Aggregation Problem; 1.1.3 The Standard Approach and the Aggregation Problem; 1.1.4 A Didactic Example Comparing ABM with the Standard Approach; 1.1.5 Behavioral Rules and Aggregation in ABM; 1.1.6 Aggregation in ABM with Network Effects; 1.2 Basic Macroeconomic Agent Based Tools; 1.2.1 Macroeconomic Building Blocks.
- 1.2.2 Expectations1.2.3 Production and Credit; 1.2.4 Innovation; 1.2.5 Consumption; 1.2.6 Government and Central Bank; 1.2.7 Exit and Enter; 1.3 Basic Financial Agent Based Tools; 1.3.1 Financial Building Blocks; 1.3.2 Microfoundations and Behavioural Rules; 1.3.3 Market Microstructure; 2 A Simple Model of Business Fluctuations with Heterogeneous Interacting Agents and Credit Networks; 2.1 Getting Started: Implementing a Toy Model; 2.1.1 Model Theoretical Setup; 2.1.2 Implementing the Model Using R; 2.1.3 Simulating the Model; 2.1.4 Some Variations; 2.1.5 Multiple Simulations.
- 2.1.6 A #x8D;Large#x8E; Computational Experiment2.1.7 Sensitivity Analysis; 2.1.8 A Policy Experiment; 2.2 Going Further: Heterogeneous Agents and Credit Networks; 2.2.1 Model Setup; 2.2.2 Implementing the Model with R; 2.2.3 Implementing the Model in R; 2.2.4 Sensitivity; 2.2.5 Policy Experiment; 2.2.6 Network Analysis; 2.2.7 Network Statistics; 2.3 A Calibration Experiment; 2.4 Exercise; 3 Modeling Financial Markets in an Agent-Based Framework; 3.1 Introduction; 3.2 The Model; 3.2.1 The Market Microstructure; 3.2.2 The Communication Network; 3.3 Implementing the Financial Model: Preliminary Steps.
- 3.4 Order of Events in the Simplified Financial Model3.5 Implementing the Model in C; 3.5.1 Basic Structure of a C Source Code; 3.6 Implementing the C Source Code; 3.6.1 Introduction; 3.6.2 Initialize Variables; 3.6.3 The Matrix Functions; 3.6.4 The Trade Function; 3.6.5 The Check_Book Function; 3.7 Simulations and Results; 3.7.1 Returns and Volatility; 3.7.2 Book and Order Flows; 3.7.3 Discussion: The Network Analysis; 3.8 Exercises; 3.9 Appendix: Hill Estimator; 3.10 Appendix: Modified R/S and Long Memory; 4 Heavy-Tailed Distributions for Agent-Based Economic Modelling; 4.1 Introduction.
- 4.2 Heavy-Tailed Distributions4.3 Power-Law Distributions; 4.3.1 Some Basic Definitions and Properties; 4.3.2 Recognizing Power-Law Distributions; 4.3.3 Estimating Power-Law Distributional Parameters; 4.3.4 Testing a Set of Data for Power-Law Distribution; 4.3.5 Models of Generation of Power-Law Distributions; 4.4 The Laplace Distribution; 4.5 Exercise; Conclusion; References; Index.
