Editors:
- Focuses on innovative components of complexity theory and chaos theory in economics
- Presents contributions from the leading experts in the field
- Offers a stimulating mix of theory, policy and examples
- Includes supplementary material: sn.pub/extras
Part of the book series: New Economic Windows (NEW)
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Table of contents (12 chapters)
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Front Matter
About this book
In this book, leading experts discuss innovative components of complexity theory and chaos theory in economics.
The underlying perspective is that investigations of economic phenomena should view these phenomena not as deterministic, predictable and mechanistic but rather as process dependent, organic and always evolving.
The aim is to highlight the exciting potential of this approach in economics and its ability to overcome the limitations of past research and offer important new insights. The book offers a stimulating mix of theory, examples and policy.
By casting light on a variety of topics in the field, it will provide an ideal platform for researchers wishing to deepen their understanding and identify areas for further investigation.
Keywords
Editors and Affiliations
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Department of Economic and Statistic Sci, University of Salerno, Fisciano (Salerno), Italy
Marisa Faggini
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Department of Economic and Statistic Sci, University of Salerno, Fisciano, Italy
Anna Parziale
Bibliographic Information
Book Title: Complexity in Economics: Cutting Edge Research
Editors: Marisa Faggini, Anna Parziale
Series Title: New Economic Windows
DOI: https://doi.org/10.1007/978-3-319-05185-7
Publisher: Springer Cham
eBook Packages: Business and Economics, Economics and Finance (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-05184-0Published: 11 July 2014
Softcover ISBN: 978-3-319-35756-0Published: 10 September 2016
eBook ISBN: 978-3-319-05185-7Published: 26 June 2014
Series ISSN: 2039-411X
Series E-ISSN: 2039-4128
Edition Number: 1
Number of Pages: X, 245
Number of Illustrations: 42 b/w illustrations
Topics: Economic Theory/Quantitative Economics/Mathematical Methods, Data-driven Science, Modeling and Theory Building, International Political Economy, Game Theory, Economics, Social and Behav. Sciences, Statistics for Social Sciences, Humanities, Law