Carte Model Reduction Methods for Vector Autoregressive Processes R. Brüggemann

Model Reduction Methods for Vector Autoregressive Processes

Limbă: engleză
Legare: Carte broșată
Disponibilitate: În depozitul extern
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551.23 lei
Vector Autoregressive (VAR) models have become one of the dominant tools for the empirical analysis...

Informații despre carte

Limbă
engleză
Legare
Carte - Carte broșată
Publicat
2004
Pagini
218
EAN
9783540206439
ISBN
3540206434
Enbook ID
01558869
Greutate
750
Dimensiuni
155 x 235 x 13

Descriere completă

Vector Autoregressive (VAR) models have become one of the dominant tools for the empirical analysis of macroeconomic time series. Sometimes the flexibility of VAR models leads to overparameterized models, making accurate estimates of impulse responses and forecasts difficult. This book introduces a variety of data-based model reduction methods and provides a detailed investigation of different reduction strategies in the context of popular VAR modelling classes, including stationary, cointegrated and structural VAR models. VAR practitioners benefit from guidelines being developed for using model reduction in applied work. The use of different reduction techniques is illustrated by means of empirical models for US monetary policy shocks and a structural vector error correction model of the German labor market. TOC:Introduction.- Model Reduction in VAR Models.- Model Reduction in Cointegrated VAR Models.- Model Reduction and Structural Analysis.- Empirical Applications.- Concluding Remarks and Outlook.- Index of Notation.- Bibliography.

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