Agent-Based Models in Economics -
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Présentation Agent - Based Models In Economics Format Relié
- Livre Économie
Résumé :
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. The contributors also present a wide set of model applications to key economic topics, including the business cycle, labour markets and economic growth.
Biographie:
Domenico Delli Gatti is Economics Professor at Catholic University, Milan, Department of Economics and Finance. Giorgio Fagiolo is Professor of Economics at the Institute of Economics, Scuola Superiore Sant'Anna, Pisa. Mauro Gallegati is Professor of Economics at the Università Politecnica delle Marche, Ancona, and he has been a visiting professor in several Universities, including Stanford, MIT and Columbia. Matteo Richiardi is Senior Research Officer at the Institute for New Economic Thinking, Martin Oxford School, University of Oxford . an assistant professor at the University of Torino, an associate member of Nuffield College, Oxford . and an affiliate of Collegio Carlo Alberto, Torino. Alberto Russo is Assistant Professor of Economics at the Università Politecnica delle Marche, Ancona.
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