Verlag: Cambridge University Press, 2004
ISBN 10: 0521547873 ISBN 13: 9780521547871
Sprache: Englisch
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Verlag: Cambridge University Press, 2004
ISBN 10: 0521547873 ISBN 13: 9780521547871
Sprache: Englisch
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Verlag: Cambridge University Press, 2004
ISBN 10: 0521547873 ISBN 13: 9780521547871
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ISBN 10: 0521547873 ISBN 13: 9780521547871
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In den WarenkorbTaschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Time series econometrics is a rapidly evolving field. Particularly, the cointegration revolution has had a substantial impact on applied analysis. Hence, no textbook has managed to cover the full range of methods in current use and explain how to proceed in applied domains. This gap in the literature motivates the present volume. The methods are sketched out, reminding the reader of the ideas underlying them and giving sufficient background for empirical work. The treatment can also be used as a textbook for a course on applied time series econometrics. Topics include: unit root and cointegration analysis, structural vector autoregressions, conditional heteroskedasticity and nonlinear and nonparametric time series models. Crucial to empirical work is the software that is available for analysis. New methodology is typically only gradually incorporated into existing software packages. Therefore a flexible Java interface has been created, allowing readers to replicate the applications and conduct their own analyses.
Verlag: Cambridge University Press, 2004
ISBN 10: 052183919X ISBN 13: 9780521839198
Sprache: Englisch
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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In den WarenkorbZustand: New. In.
Verlag: Cambridge University Press, 2004
ISBN 10: 052183919X ISBN 13: 9780521839198
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
EUR 209,48
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In den WarenkorbBuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Time series econometrics is used for predicting future developments of variables of interest such as economic growth, stock market volatility or interest rates. A model has to be constructed, accordingly, to describe the data generation process and to estimate its parameters. Modern tools to accomplish these tasks are provided in this volume, which also demonstrates by example how the tools can be applied.