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Springer Nonlinearities in Economics - Dynamic Modeling & Growth Cycles

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Description

This interdisciplinary academic text explores the non-linear structure underlying economic systems and demonstrates how business cycles arise endogenously rather than from external shocks. Published by Springer as volume 29 in the Dynamic Modeling and Econometrics in Economics and Finance series, the book combines rigorous mathematical methodology with practical economic analysis. The first section establishes the formal-methodological foundation and mathematical background essential for understanding complex economic dynamics. The second section examines signal processing through the lens of information construction and deconstruction, providing frameworks for measuring process efficacy. The third section applies these concepts to economic phenomena, offering greater explanatory power than traditional stochastic models that assume exogenous shocks. Ideal for researchers, economists, and graduate students seeking advanced understanding of economic cycles, growth patterns, and non-linear dynamics in modern economies.

Key Features

Springer publication presenting an interdisciplinary approach to understanding non-linear economic structures and endogenous business cycles.

Comprehensive three-part structure beginning with formal-methodological foundations and essential mathematical background for economic dynamics.

Examines signal processing, information construction and deconstruction, and methods for measuring the efficacy of information processes in economics.

Provides enhanced explanatory power for economic phenomena compared to traditional stochastic models with exogenous shock assumptions.

Part of the Dynamic Modeling and Econometrics in Economics and Finance series, volume 29, connecting theory to contemporary economic analysis.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
01 September 2021
Listed Since
02 February 2021

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