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Title Agent-Based Models in Economics : A Toolkit / edited by Domenico Delli Gatti, Giorgio Fagiolo, Mauro Gallegati, Matteo Richiardi, Alberto Russo
Published Cambridge : Cambridge University Press, 2018

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Description 1 online resource (260 pages) : PDF file(s)
Summary 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
Notes Title from publisher's bibliographic system (viewed on 06 Apr 2018)
Subject Econometric models.
Economics -- Mathematical models.
Econometric models
Economics -- Mathematical models
Form Electronic book
Author Delli Gatti, Domenico, editor
Fagiolo, Giorgio, editor
Gallegati, Mauro, editor
Richiardi, Matteo, editor
Russo, Alberto, editor
ISBN 9781108227278
1108227279