Overview
- Places particular emphasis on recurrence quantification analysis, statistical techniques and numerical calibration
- Presents a test case on how a non-linear economic system would work
- Offers the required background in mathematics and economics to meaningfully approach the subject
Part of the book series: Dynamic Modeling and Econometrics in Economics and Finance (DMEF, volume 29)
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Table of contents (20 chapters)
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Front Matter
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Signal Analysis and Modelling Tools for Economic Systems
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Front Matter
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Emergence of Cycles and Growth in Economics
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Front Matter
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New Horizons for Understanding Economics
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Front Matter
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Keywords
About this book
This interdisciplinary book argues that the economy has an underlying non-linear structure and that business cycles are endogenous, which allows a greater explanatory power with respect to the traditional assumption that dynamics are stochastic and shocks are exogenous.
The first part of this work is formal-methodological and provides the mathematical background needed for the remainder, while the second part presents the view that signal processing involves construction and deconstruction of information and that the efficacy of this process can be measured. The third part focuses on economics and provides the related background and literature on economic dynamics and the fourth part is devoted to new perspectives in understanding nonlinearities in economic dynamics: growth and cycles.
By pursuing this approach, the book seeks to (1) determine whether, and if so where, common features exist, (2) discover some hidden features of economic dynamics, and (3)highlight specific indicators of structural changes in time series. Accordingly, it is a must read for everyone interested in a better understanding of economic dynamics, business cycles, econometrics and complex systems, as well as non-linear dynamics and chaos theory.
Reviews
Editors and Affiliations
About the editors
Alexander N. Pisarchik is a Distinguished Researcher at the Center for Biomedical Technology, Technical University of Madrid (Spain). In 2013 he was appointed the Isaac-Peral Chair of Computational Systems Biology at the Center for Biomedical Technology, Technical University of Madrid in the framework of the BBVA-UPM BioTech Program. His scientific interests include nonlinear dynamics, chaos, synchronization, multistability, intermittency, and stochastic dynamics with applications to lasers, electronics, the brain, neurons and cryptography.
Ruedi Stoop is a Professor at the Institute for Neuroinformatics, University ofZurich (UZH); Swiss Federal Institute of Technology (ETH) in Zurich; the University of Bern and the Technical University Nordwestschweiz (Switzerland). A mathematician and theoretical physicist, his research focuses on biological computing, statistical physics and cochlear modelling.
Bibliographic Information
Book Title: Nonlinearities in Economics
Book Subtitle: An Interdisciplinary Approach to Economic Dynamics, Growth and Cycles
Editors: Giuseppe Orlando, Alexander N. Pisarchik, Ruedi Stoop
Series Title: Dynamic Modeling and Econometrics in Economics and Finance
DOI: https://doi.org/10.1007/978-3-030-70982-2
Publisher: Springer Cham
eBook Packages: Economics and Finance, Economics and Finance (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-70981-5Published: 01 September 2021
Softcover ISBN: 978-3-030-70984-6Published: 02 September 2022
eBook ISBN: 978-3-030-70982-2Published: 31 August 2021
Series ISSN: 1566-0419
Series E-ISSN: 2363-8370
Edition Number: 1
Number of Pages: XIV, 361
Number of Illustrations: 51 b/w illustrations
Topics: Economic Theory/Quantitative Economics/Mathematical Methods, Complex Systems, Applications of Mathematics, Macroeconomics/Monetary Economics//Financial Economics