Nonlinear Economic Models (inbunden)
Format
Inbunden (Hardback)
Språk
Engelska
Antal sidor
304
Utgivningsdatum
1997-10-01
Förlag
Edward Elgar Publishing Ltd
Illustrationer
tables, figures, index
ISBN
9781858986371
Nonlinear Economic Models (inbunden)

Nonlinear Economic Models

Cross-sectional, Time Series and Neural Network Applications

Inbunden Engelska, 1997-10-01
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Nonlinear modelling has become increasingly important and widely used in economics. This valuable book brings together recent advances in the area including contributions covering cross-sectional studies of income distribution and discrete choice models, time series models of exchange rate dynamics and jump processes, and artificial neural network and genetic algorithm models of financial markets. Attention is given to the development of theoretical models as well as estimation and testing methods with a wide range of applications in micro and macroeconomics, labour and finance. The book provides valuable introductory material that is accessible to students and scholars interested in this exciting research area, as well as presenting the results of new and original research. Nonlinear Economic Models provides a sequel to Chaos and Nonlinear Models in Economics by the same editors.
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'This collection provides valuable introductory material that is accessible to students and scholars interested in this research area.' -- Business Horizons

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Övrig information

Edited by John Creedy, School of Accounting and Commercial Law, Victoria University of Wellington, New Zealand and Vance L. Martin, former Associate Professor in Economics, University of Melbourne, Australia

Innehållsförteckning

Contents: Part I: Introduction 1. Nonlinear Modelling: An Introduction Part II: Cross-sectional Applications 2. A Model of Income Distribution 3. Truncated Distribution Families 4. Betit: A Flexible Binary Choice Model 5. Estimation of Generalised Distributions 6. Age and the Distribution of Earnings 7. Count Data and Discrete Distributions Part III: Time Series Applications 8. A Model of the Real Exchange Rate 9. Jump Models and Higher Moments 10. A Topological Test of Chaos 11. Genetic Algorithms and Trading Rules Part IV: Neural Network Applications 12. Artificial Neural Networks 13. An ANN Model of the Stock Market 14. Exchange Rate Forecasting Models Index