Chaos Theory in Economics: Methods, Models and Evidence

by W. D. Dechert

Overview

This important book presents the most important articles by leading scholars in their fields which bring together three basic aspects of research into nonlinear dynamics and economics.

The first papers deal with the theoretical methods used in analysing chaotic dynamics and the statistical tools to detect the presence of non linearities in economic data. The following articles discuss the models which are currently being used to stimulate nonlinear economic phenomena. The final papers apply these methods to a number of economic time series.

The editor has written a new introduction to accompany the piece.

Product Details

ISBN-13:	9781858982168
Publisher:	Edward Elgar Publishing
Publication date:	08/01/1996
Series:	The International Library of Critical Writings in Economics series , #66
Pages:	624
Product dimensions:	6.62(w) x 9.62(h) x (d)

About the Author

Edited by W. Davis Dechert, formerly Department of Economics, University of Wisconsin, US

Table of Contents

Contents: Acknowledgements Introduction Part I: Methods Part II: Models Part III: Evidence Index

Editorial Reviews

A collection of articles written between 1987 and 1993, exploring basic aspects of research in nonlinear dynamics and economics. Section I deals with theoretical methods used in analyzing chaotic dynamics and statistical tools that detect the presence of nonlinearities in economic data. Section II discusses models currently used to simulate nonlinear economic phenomena. Section III applies the methods to economic time series, examining areas such as applications to financial markets, implications of nonlinear dynamics for financial risk management, and nonlinear dynamics in the pork cycle. No index. Annotation c. by Book News, Inc., Portland, Or.

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