Non-linearities in economics : an interdisciplinary approach to economic dynamics, growth and cycles / Giuseppe Orlando, Alexander N. Pisarchik, Ruedi Stoop, editors.
Orlando, Giuseppe, editor.; Pisarchik, A. N. (Alexander N.), editor.; Stoop, Ruedi, editor.
2021
HB135 .N66 2021
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Title Non-linearities in economics : an interdisciplinary approach to economic dynamics, growth and cycles / Giuseppe Orlando, Alexander N. Pisarchik, Ruedi Stoop, editors.
ISBN 9783030709822 (electronic bk.)
3030709825 (electronic bk.)
9783030709815
3030709817
DOI https://doi.org/10.1007/978-3-030-70982-2
Published Cham : Springer, [2021]
Copyright ©2021
Language English
Description 1 online resource : illustrations
Other Standard Identifiers 10.1007/978-3-030-70982-2 doi
Call Number HB135 .N66 2021
Dewey Decimal Classification 330.01/51
Summary 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.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed September 9, 2021).
Added Author Orlando, Giuseppe, editor.
Pisarchik, A. N. (Alexander N.), editor.
Stoop, Ruedi, editor.
Series Dynamic modeling and econometrics in economics and finance ; v. 29.
Available in Other Form Non-linearities in economics.
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Introduction
Part I: Mathematical background
Dynamical systems
An example of nonlinear dynamical system: The Logistic Map
Bifurcations
From local bifurcations to global dynamics: Hopf systems from the applied perspective
Chaos
Embedding and mutual information
Part II: Signal analysis and modelling tools for economic systems
Signal Processing
Applied spectral analysis
Recurrence quanti cation analysis: theory and applications
Part III: Emergence of cycles and growth in economics
On business cycles and growth
Trade-cycle oscillations: The Kaldor model and the Keynesian Hansen-Samuelson principle of acceleration and multiplier
The Harrod model
Growth and cycles as a struggle: Lotka-Volterra, Goodwin and Phillips
Stable periodic economic cycles from controlling
Part IV: New horizons for understanding economics
Kaldor-Kalecki new model on business cycles
Recurrence Quanti cation Analysis of Business Cycles
An empirical test on Harrod's model
Testing a Goodwin's model with capacity utilization to the US Economy
Financial Stress, Regime Switching and Macrodynamics
BM.

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