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Chaos and non-linear models in economics

by John Creedy, Vance Martin

Mathematical EconomicsChaotic behavior in systemsNonlinear theoriesInternational financeEconomics, mathematical models

Non-linear models are increasingly being applied to phenomena that are otherwise very difficult to model such as financial markets, economic growth, agricultural price cycles, business cycles, diffusion processes and overlapping generation models. Chaos and Non-Linear Models in Economics makes important advances in the theory and application of non-linear modelling accessible to advanced students. This volume includes both introductory chapters which review the fundamental theoretical and statistical characteristics of non-linear models and keep the use of mathematics to a minimum - and chapters which introduce more sophisticated techniques.

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Book data: Open Library