Applied Time Series Econometrics - Couverture rigide

9780521839198: Applied Time Series Econometrics

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ISBN 10 : 052183919X ISBN 13 : 9780521839198

Editeur : Cambridge University Press, 2004

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A demonstration of how time series econometrics can be used in economics and finance.

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� propos des auteurs

Helmut L�tkepohl is Professor of Economics at the European University Institute in Florence, Italy. He is on leave from Humboldt University Berlin where he has been Professor of Econometrics in the Faculty of Economics and Business Administration since 1992. He had previously been Professor of Statistics at the University of Kiel (1987–1992) and the University of Hamburg (1985-1987) and was Visiting Assistant Professor at the University of California, San Diego (1984-85). Professor L�tkepohl is Associate Editor of Econometric Theory, the Journal of Applied Econometrics, Macroeconomic Dynamics, Empirical Economics and Econometric Reviewa. He has published extensively in learned journals and books and is author, co-author and editor of a number of books in econometrics and time series analysis. Professor L�tkepohl is the author of Introduction to Multiple Time Series Analysis (1991) and a Handbook of Matrices (1996). His current teaching and research interests include methodological issues related to the study of nonstationary, integrated time series and the analysis of the transmission mechanism of monetary policy in the Euro area.

Markus Kr�tzig is a doctoral student in the Department of Economics at Humboldt University, Berlin.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Cambridge University Press
Date d'�dition: 2004
Langue: anglais
ISBN 10: 052183919X
ISBN 13: 9780521839198
Reliure: Reli�
Nombre de pages: 352
�diteur: L�tkepohl Helmut, Kr�tzig Markus
Coordonn�es du fabricant: non disponible

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�tat : Satisfaisant

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9780521547871: Applied Time Series Econometrics

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Applied Time Series Econometrics (Themes in Modern Econometrics)

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ISBN 10 : 052183919X ISBN 13 : 9780521839198

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(Edited by) Helmut Lutkepohl,Markus Kratzig

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Applied Time Series Econometrics (Themes in Modern Econometrics)

L�tkepohl, Helmut [Editor]; Kr�tzig, Markus [Editor];

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Applied Time Series Econometrics

Edited by Helmut Lütkepohl, Markus Krätzig

Edit� par Cambridge University Press, 2004

ISBN 10 : 052183919X ISBN 13 : 9780521839198

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Applied Time Series Econometrics

Helmut Lutkepohl

Edit� par Cambridge University Press, 2004

ISBN 10 : 052183919X ISBN 13 : 9780521839198

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Applied Time Series Econometrics

Edit� par Cambridge University Press, 2004

ISBN 10 : 052183919X ISBN 13 : 9780521839198

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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The cointegration revolution has had a substantial impact on applied analysis. The methods for conducting this analysis are sketched out, reminding the reader of the ideas underlying them and giving sufficient background for empirical work. The treatment ca. N� de r�f. du vendeur 594764132

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Applied Time Series Econometrics (Hardcover)

Luetkepohl, Helmut

Edit� par Cambridge University Press, Cambridge, 2004

ISBN 10 : 052183919X ISBN 13 : 9780521839198

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Hardcover. Etat : new. Hardcover. 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. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N� de r�f. du vendeur 9780521839198

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