5 edition of **The elements of a nonlinear theory of economic dynamics** found in the catalog.

The elements of a nonlinear theory of economic dynamics

Carl Chiarella

- 333 Want to read
- 31 Currently reading

Published
**1990**
by Springer-Verlag in Berlin, New York
.

Written in English

- Econometric models.,
- Statics and dynamics (Social sciences)

**Edition Notes**

Includes bibliographical references (p. [140]-149).

Statement | Carl Chiarella. |

Series | Lecture notes in economics and mathematical systems ;, 343 |

Classifications | |
---|---|

LC Classifications | HB141 .C49 1990 |

The Physical Object | |

Pagination | ix, 149 p. : |

Number of Pages | 149 |

ID Numbers | |

Open Library | OL1857558M |

ISBN 10 | 3540526226, 0387526226 |

LC Control Number | 90009784 |

The remainder of the paper includes a discussion of the impact of nonlinear modeling strategies on economic theory, followed by a consideration of policy advice in models characterized by nonlinear dynamics. The section on policy includes a brief look at prominent examples in the literature. Sections five and six briefly discuss stochasticFile Size: 2MB. X, , Springer Science & Business Media, Treating the mathematical methods used in the economic dynamics, this book shows how they are Nonlinear Difference Equations Theory with Applications to Social Science Models, H. Sedaghat, , Business & Economics, pages.

A rigorous and example-driven introduction to topics in economic dynamics, with an emphasis on mathematical and computational techniques for modeling dynamic systems. This text provides an introduction to the modern theory of economic dynamics, with emphasis on mathematical and computational techniques for modeling dynamic systems/5(9). What would be the best book for me if I want to learn nonlinear dynamics? I have my basics clear in linear differential equations, linear system theory, integral transforms and random process if they suffice as prerequisites.

eliminate these difficulties, the chaos theory and the nonlinear models are extensively used. The first researches have been carried out starting from In the majority of situations these models are highly nonlinear and result in a wide range of dynamic behavior, including chaotic dynamics. There is a dispute over the manifestation ofCited by: 7. Nonlinear algebraic equations, which are also called polynomial equations, are defined by equating polynomials (of degree greater than one) to zero. For example, + −. For a single polynomial equation, root-finding algorithms can be used to find solutions to the equation (i.e., sets of values for the variables that satisfy the equation). However, systems of algebraic equations are more.

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Elements of a Nonlinear Theory of Economic Dynamics provides both a framework and a survey of its needs. First, principle results and techniques of the theory relevant to applications in dynamic economics are discussed, then their application in view of older endogenous cycle theories are considered in a unified mathematical by: Nonlinear Economic Dynamics (Economic Theory, Econometrics, and Mathematical Economics) (Economic Theory, Econometrics, and Mathematical Economics): Economics Books Format: Hardcover.

The present study deals with nonlinear economic dynamics, with which the author has been concerned the last years. It grew out from the joint work by Professor Martin Beckmann and the present author on nonlinear statics in spatial economics, Beckmann and Pull, "Spatial Economics" (N orth-Holland ), later followed by its companion, Beckmann and Puu "Spatial Structures" (Springer-Verlag ).

Over the last two decades there has been a great deal of research into nonlinear dynamic models in economics, finance and the social sciences. This book contains twenty papers that range over very recent applications in these areas.

Topics The elements of a nonlinear theory of economic dynamics book include structural change and economic growth, disequilibrium dynamics and economic policy as well as models with boundedly rational agents.

§6 Elements of the qualitative theory of non-linear difference equations §7 Some economic applications The neoclassical aggregate growth model again (Solow) Embodied technical progress and 'vintage' models (Solow-Bergstrom) A cyclical model by Goodwin Goodwin's growth cycle Uzawa's two-sector model of economic growthBook Edition: 1.

Nonlinear Dynamical Systems Theory and Economic Complexity Aleksander Jakimowicz University of Warmia and Mazury in Olsztyn, Faculty of Economic Sciences, Department of Quantitative Methods, Poland E-mail: [email protected] Abstract: Catastrophe theory and deterministic chaos constitute basic elements of the science of : Aleksander Jakimowicz.

This text provides an introduction to the modern theory of economic dynamics, with emphasis on mathematical and computational techniques for modeling dynamic systems.

Written to be both rigorous and engaging, the book shows how sound understanding of the underlying theory leads to effective algorithms for solving real world problems. The aim of this book is to teach topics in economic dynamics such as simulation, sta-bility theory, and dynamic programming.

The focus is primarily on stochastic systems in discrete time. Most of the models we meet will be nonlinear, and the emphasis is on getting to grips with nonlinear systems in their original form, rather than usingFile Size: 2MB.

Nonlinear dynamical systems 14 Continuous models 20 Continuous diVerential equations on a spreadsheet 22 Conclusion 25 Exercises 25 2 Demand and supply dynamics Beyond the textbook 27 The linear cobweb model 31 Experimentation 34 DiVerent expectations 35 The Goodwin model of expectations 37 Nonlinear.

Review of Economic Dynamics publishes meritorious original contributions to dynamic economics. The scope of the journal is intended to be broad and to reflect the view of the Society for Economic Dynamics that the field of economics is unified by the scientific approach to economics.

We will publish contributions in any area of economics. Introductionto Nonlinear Analysis Transparency Transparency FINITE ELEMENT NONLINEAR ANALVSIS • Nonlinear analysis in engineering mechanics can be an art.

• Nonlinear analysis can be a frustration. • It always is a great challenge. Some important engineering phenomena can only be assessed on the basis of a nonlinear analysis. Beyond Connectionism: Nonlinear Dynamics.

Since the early s, another computational framework has been claimed to be useful for cognitive modeling: the theory of nonlinear dynamic systems, initially known as ‘chaos theory’ (Port and van Gelder ).

Fine-grained analyses of movement (e.g., in phonetics) and of developmental changes. Throughout the book, vivid figures illustrate the ideas and key features of the explicit finite element method.

Examples clearly present results, featuring both theoretical assessments and industrial applications. Introduction to the Explicit Finite Element Method for Nonlinear Transient Dynamics is an ideal book for both engineers who require. Because of dissipation, the dynamics of a system whose phase space is n- dimensional, will eventually be conﬁned to a subset of dimension smaller than n.

Thus, in sharp contrast to the situation encountered in conservative systems, dissipation permits one to distinguish between transient and permanent behavior. simple, reasonably general, nonlinear system theory could be developed. Hand in hand with this viewpoint was the feeling that many of the approaches useful for linear systems ought to be extensible to the nonlinear theory.

This is a key point if the theory is. Nonlinear dynamics enters the biomedical literature in at least three ways. First, there are cases in which experimental data on the temporal evolution of one or more quantities are collected and analyzed using techniques grounded in nonlinear dynamical theory, with minimal assumptions about the underlyingFile Size: KB.

Nonlinear Dynamics, Chaos, and Instability also reviews important issues in the theoretical economics literature on chaos and complex dynamics, surveys existing work on the detection of chaos and nonlinear structure, and develops models and processes to discover predictable sequencing in time-series data, such as stock returns, that currently.

covers basic principles of nonlinear models and focuses on economic applications. The state space approach adopted in this book favored its choice with respect to, e.g., Zhang’s classic [a]. Beside market models, relevant applications of nonlinear models to economics includeFile Size: 1MB. Chaos theory has touched on such fields as biology, cognitive science, and physics.

By providing a unified and complete explanation of new statistical methods that are useful for testing for chaos in data sets, Brock, Hsieh, and LeBaron show how the principles of chaos theory can be applied to such areas of economics and finance as the changing structure of stock returns a/5(6).

The study concentrated on demonstrating how non-linear modelling can be useful to investigate the behavioural of dynamic economic systems. Using some adequate non-linear models could be a good way to find more refined solutions to actually unsolved problems or ambiguities in economics. Beginning with a short presentation of the simplest non-linear models, then we are demonstrating how the.

Incorporating chaos theory into psychology and the life sciences, this text includes empirical studies of neural encoding, memory, eye movements, warfare, business cycles and selection of time series analysis algorithms.

There are theoretical chapters on emergence and social dynamics, and clinical contributions dealing with: the measurement of quality of life for psychiatric patients. NONLINEAR AND COMPLEX DYNAMICS IN ECONOMICS - Volume 19 Issue 8 - William A.

Barnett, Apostolos Serletis, Demitre SerletisCited by: During the last few years,several good textbooks on nonlinear dynam-ics have appeared for graduate students in applied mathematics.

It seems, however,that the majority of such books are still too theoretically ori-ented and leave many practical issues unclear for people intending to apply the theory to particular research problems.