CHF 150.00

Chaos, Complexity, And Nonlinear Economic Theory

English · Hardback

Shipping usually within 3 to 5 weeks

Description

Read more










What do economic chaos and uncertainties mean in rational or irrational economic theories? How do simple deterministic interactions among a few variables lead to unpredictable complex phenomena? Why is complexity of economies causing so many conflicts and confusions worldwide?


This book provides a comprehensive introduction to recent developments of complexity theory in economics. It presents different models based on well-accepted economic mechanisms such as the Solow model, Ramsey model, and Lucas model. It is focused on presenting complex behaviors, such as business cycles, aperiodic motion, bifurcations, catastrophes, chaos, and hidden attractors, in basic economic models with nonlinear behavior. It shows how complex nonlinear phenomena are identified from various economic mechanisms and theories. These models demonstrate that the traditional or dominant economic views on evolution of, for instance, capitalism market, free competition, or Keynesian economics, are not generally valid. Markets are unpredictable and nobody knows with certainty the consequences of policies or other external factors in economic systems with simple interactions.


Product details

Authors Wei-bin Zhang, Wei-Bin Zhang
Publisher World Scientific Publishing
 
Content Book
Product form Hardback
Publication date 01.06.2023
Subject Social sciences, law, business > Business > Economics
Natural sciences, medicine, IT, technology > Mathematics > Analysis
 
EAN 9789811267413
ISBN 978-981-1267-41-3
Pages 228
 
Series Series on Advances in Mathematics for Applied Sciences > 92
Subjects SCIENCE / Chaotic Behavior in Systems
Chaos Theory
 

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.