Agent-Based Modelling in Economics
Language: English
Published by John Wiley & Sons Dez 2015, 2015
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Add to basketItem description from seller
Neuware - Agent-based modelling in economicsLynne Hamill and Nigel Gilbert, Centre for Research in Social Simulation (CRESS), University of Surrey, UKNew 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.…
Seller Inventory # 9781118456071
- Title
- Agent-Based Modelling in Economics
- Author
- Lynne Hamill
- Publisher
- John Wiley & Sons Dez 2015
- Publication year
- 2015
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 1118456076
- ISBN 13
- 9781118456071
- Item weight
- 453 grams
- Dimensions
- 233x146x20 mm
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.
"Synopsis" may belong to another edition of this title.
About the Author
Nigel Gilbert, Professor of Sociology and Director of CRESS, University of Surrey, UK.
Lynne Hamill, Centre of Research in Social Simulation (CRESS), University of Surrey, UK.
"About the title" may belong to another edition of this title.
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