In contrast to mainstream economics, complexity theory conceives the economy as a complex system of heterogeneous interacting agents characterised by limited information and bounded rationality. Agent Based Models (ABMs) are the analytical and computational tools developed by the proponents of this emerging methodology. Aimed at students and scholars of contemporary economics, this book includes a comprehensive toolkit for agent-based computational economics, now quickly becoming the new way to study evolving economic systems. Leading scholars in the field explain how ABMs can be applied fruitfully to many real-world economic examples and represent a great advancement over mainstream approaches. The essays discuss the methodological bases of agent-based approaches and demonstrate step-by-step how to build, simulate and analyse ABMs and how to validate their outputs empirically using the data. They also present a wide set of applications of these models to key economic topics, including the business cycle, labour markets, and economic growth.
Author(s): Domenico Delli Gatti, Giorgio Fagiolo, Mauro Gallegati, Matteo Richiardi, Alberto Russo
Edition: 1st
Publisher: Cambridge University Press
Year: 2018
Language: English
Pages: 259
City: Cambridge
Agent-Based Models in Economics......Page 1
Dedication......Page 5
Contents......Page 7
Figures......Page 11
Tables......Page 13
Contributors......Page 14
Preface......Page 17
1 - Introduction......Page 19
2 - Agent-Based Computational Economics - What, Why, When......Page 28
3 - Agent-Based Models as Recursive Systems......Page 51
4 - Rationality, Behavior, and Expectations......Page 61
5 - Agents’ Behavior and Learning......Page 99
6 - Interaction......Page 127
7 - The Agent-Based Experiment......Page 161
8 - Empirical Validation of Agent-Based Models......Page 181
9 - Estimation of Agent-Based Models......Page 201
10 - Epilogue......Page 240
Bibliography......Page 242
Index......Page 258
