Modelling Non-Linear Economic Relationships (häftad)
Häftad (Paperback)
Antal sidor
OUP Oxford
Tersvirta, Timo
235 x 155 x 12 mm
296 g
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Modelling Non-Linear Economic Relationships

Häftad, Engelska, 1993-10-01
1266 kr
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The series Advanced Texts in Econometrics allows leading econometricians to summarize the theretical areas in which they have made a contribution. This volume surveys and summarizes new work linking theoretical developments in nonlinear analysis to current models of the economy.
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Recensioner i media

`Very good overview of tests of linearity.'
D. Malliaropulos, London Guildhall University

`It is an excellent survey in a very important area.'
Dr D. Basu, University of Kent

'provides the reader with a clear and thoughtfully structured guide to the fundamentals of nonlinear time series modelling and highlights the considerable potential of these modelling techniques for applied econometricians ... The authors should be congratulated on bringing this important class of models more fully into the mainstream realm.'
S.J. Leybourne, The Economic Journal, Vol 105, No. 428, January 1995

Journal of American Statistical Association For a reader with a basic knowledge of time series analysis concepts, this book offers an excellent opportunity to catch up on the explosive developments in modeling nonlinear times series ... It is very readable ... An intermediate-to-advanced level of knowledge can be gained by reading the book in its entirety. This would be an ideal resource for a special topics graduate level seminar. For those with great interest in specific topics, there is an extensive
reference section ... it is a wise addition to the practicing time-series analyst's reference shelf, whether to dabble or to delve extensively into modeling nonlinear time series.

Bloggat om Modelling Non-Linear Economic Relationships


Basic concepts; general models and tools for analysis; nonlinear models in economic theory; particular nonlinear multivariate models; long memory models; linearity testing; building nonlinear models; forecasting, aggression and non-symmetry; applications; strategies for nonlinear modelling.