Agent-based modelling in economics

 

Lynne Hamill and Nigel Gilbert, Centre for Research in Social Simulation (CRESS), University of Surrey, UK

 

New methods of economic modelling have been sought as a result of the global economic downturn in 2008.This unique book highlights the benefits of an agent-based modelling (ABM) approach. It demonstrates how ABM can easily handle complexity: heterogeneous people, households and firms interacting dynamically. Unlike traditional methods, ABM does not require people or firms to optimise or economic systems to reach equilibrium. ABM offers a way to link micro foundations directly to the macro situation. 

 

Key features:



Introduces the concept of agent-based modelling and shows how it differs from existing approaches.
Provides a theoretical and methodological rationale for using ABM in economics, along with practical advice on how to design and create the models.
Each chapter starts with a short summary of the relevant economic theory and then shows how to apply ABM.
Explores both topics covered in basic economics textbooks and current important policy themes; unemployment, exchange rates, banking and environmental issues.
Describes the models in pseudocode, enabling the reader to develop programs in their chosen language.
Supported by a website featuring the NetLogo models described in the book.

 

Agent-based Modelling in Economics provides students and researchers with the skills to design, implement, and analyze agent-based models. Third year undergraduate, master and doctoral students, faculty and professional economists will find this book an invaluable resource.