£120.16

Springer Nonlinearities in Economics - Dynamic Modeling Book

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Description

Explore the complexities of economic systems with Nonlinearities in Economics: An Interdisciplinary Approach to Economic Dynamics, Growth and Cycles. Published by Springer, this text challenges traditional views by arguing that the economy possesses an underlying non-linear structure. Unlike models that assume stochastic dynamics and exogenous shocks, this work suggests that business cycles are endogenous, providing a more powerful way to explain economic movements. The book is structured into three distinct parts to guide the reader through complex concepts. It begins with a formal-methodological foundation, establishing the mathematical background necessary for advanced study. The second section examines signal processing through the lens of information construction and deconstruction, offering ways to measure process efficacy. Finally, the third part applies these concepts directly to the field of economics. This volume is an essential resource for students and professionals interested in econometrics, dynamic modeling, and the evolving understanding of economic growth and cycles.

Key Features

Provides a formal-methodological foundation with the mathematical background required for advanced economic modeling.

Challenges traditional economic assumptions by treating business cycles as endogenous rather than driven by exogenous shocks.

Explores the relationship between signal processing and information construction to measure process efficacy.

Offers an interdisciplinary approach to understanding economic dynamics, growth, and cycles.

Part of the Dynamic Modeling and Econometrics in Economics and Finance series (Volume 29) from Springer.

Product Specifications

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

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No barcode data available

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