New Introduction to Multiple Time Series Analysis

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Springer Science & Business Media, 6 dic 2005 - 764 pagine
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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Sommario

1 Introduction
1
Part I Finite Order Vector Autoregressive Processes
8
2 Stable Vector Autoregressive Processes
12
3 Estimation of Vector Autoregressive Processes
69
4 VAR Order Selection and Checking the Model Adequacy
135
5 VAR Processes with Parameter Constraints
193
Part II Cointegrated Processes
232
6 Vector Error Correction Models
236
14 Cointegrated VARMA Processes
515
15 Fitting Finite Order VAR Models to Infinite Order Processes
531
Part V Time Series Topics
554
16 Multivariate ARCH and GARCH Models
557
17 Periodic VAR Processes and Intervention Models
585
18 State Space Models
611
Appendix
643
A Vectors and Matrices
644

7 Estimation of Vector Error Correction Models
269
8 Specification of VECMs
325
Part III Structural and Conditional Models
354
9 Structural VARs and VECMs
357
10 Systems of Dynamic Simultaneous Equations
387
Part IV Infinite Order Vector Autoregressive Processes
414
11 Vector Autoregressive Moving Average Processes
418
12 Estimation of VARMA Models
447
13 Specification and Checking the Adequacy of VARMA Models
493
B Multivariate Normal and Related Distributions
677
C Stochastic Convergence and Asymptotic Distributions
681
D Evaluating Properties of Estimators and Test Statistics by Simulation and Resampling Techniques
707
References
713
Index of Notation
733
Author Index
741
Subject Index
746
Copyright

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