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New Introduction to Multiple Time Series Analysis

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en Limba Engleză Carte Paperback – 26 Jul 2007

When I worked on my Introduction to Multiple Time Series Analysis (Lutk ¨ ¨- pohl (1991)), a suitable textbook for this ?eld was not available. Given the great importance these methods have gained in applied econometric work, it is perhaps not surprising in retrospect that the book was quite successful. Now, almost one and a half decades later the ?eld has undergone substantial development and, therefore, the book does not cover all topics of my own courses on the subject anymore. Therefore, I started to think about a serious revision of the book when I moved to the European University Institute in Florence in 2002. Here in the lovely hills of ToscanyIhadthetimetothink about bigger projects again and decided to prepare a substantial revision of my previous book. Because the label Second Edition was already used for a previous reprint of the book, I decided to modify the title and thereby hope to signal to potential readers that signi?cant changes have been made relative to my previous multiple time series book.

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Specificații

ISBN-13: 9783540262398
ISBN-10: 3540262393
Pagini: 790
Dimensiuni: 155 x 235 x 45 mm
Greutate: 1.15 kg
Ediția: 1st ed. 2006. Corr. 2nd printing 2007
Editura: Springer
Colecția Springer
Locul publicării: Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

Introduction.- Finite Order Vector Autoregressive Processes: Stable Vector Autoregressive Processes.- Estimation of Vector Autoregressive Processes.- VAR Order Selection and Checking the Model Adequacy.- VAR Processes with Parameter Constraints. Cointegrated Processes: Vector Error Correction Models.- Estimation of Vector Error Correction Models.- Specification of VECMs. Structural and Conditional Models: Structural VARs and VECMs.- Systems of Dynamic Simultaneous Equations. Infinite Order Vector Autoregressive Processes: Vector Autoregressive Moving Average Processes.- Estimation of VARMA Models.- Specification and Checking the Adequacy of VARMA.- Cointegrated VARMA Processes.- Fitting Finite Order VAR Models to Infinite Order Processes. Time Series Topics: Multivariate ARCH and GARCH Models.- Periodic VAR Processes and Intervention Models.- State Space Models. Appendices: Vectors and Matrices.- Multivariate Normal and Related Distributions.- Stochastic Convergence and Asymptotic Distributions.- Evaluating Properties of Estimators and Test Statistics by Simulation and Resampling Techniques.


Caracteristici

Profound introduction to the main steps of analyzing multiple time series, model specification, estimation, model checking, and for using the models for economic analysis and forecasting
Based on the successful Introduction to Multiple Time Series Analysis by Helmut Lütkepohl, published in 1991/1993
Totally revised and with new chapters on cointegration analysis, structural vector autoregressions, cointegrated VARMA processes and multivariate ARCH models