Implications of Dynamic Factor Models for VAR Analysis
J. Stock, and M. Watson. Working Paper, 11467. National Bureau of Economic Research, (July 2005)
Abstract
This paper considers VAR models incorporating many time series that interact through a few dynamic factors. Several econometric issues are addressed including estimation of the number of dynamic factors and tests for the factor restrictions imposed on the VAR. Structural VAR identification based on timing restrictions, long run restrictions, and restrictions on factor loadings are discussed and practical computational methods suggested. Empirical analysis using U.S. data suggest several (7) dynamic factors, rejection of the exact dynamic factor model but support for an approximate factor model, and sensible results for a SVAR that identifies money policy shocks using timing restrictions.
Description
Implications of Dynamic Factor Models for VAR Analysis
%0 Report
%1 stock2005implications
%A Stock, James H.
%A Watson, Mark W.
%B Working Paper Series
%D 2005
%K dynamic_factor_model econometric_theory favar structural_var var
%N 11467
%T Implications of Dynamic Factor Models for VAR Analysis
%U http://www.nber.org/papers/w11467
%X This paper considers VAR models incorporating many time series that interact through a few dynamic factors. Several econometric issues are addressed including estimation of the number of dynamic factors and tests for the factor restrictions imposed on the VAR. Structural VAR identification based on timing restrictions, long run restrictions, and restrictions on factor loadings are discussed and practical computational methods suggested. Empirical analysis using U.S. data suggest several (7) dynamic factors, rejection of the exact dynamic factor model but support for an approximate factor model, and sensible results for a SVAR that identifies money policy shocks using timing restrictions.
@techreport{stock2005implications,
abstract = {This paper considers VAR models incorporating many time series that interact through a few dynamic factors. Several econometric issues are addressed including estimation of the number of dynamic factors and tests for the factor restrictions imposed on the VAR. Structural VAR identification based on timing restrictions, long run restrictions, and restrictions on factor loadings are discussed and practical computational methods suggested. Empirical analysis using U.S. data suggest several (7) dynamic factors, rejection of the exact dynamic factor model but support for an approximate factor model, and sensible results for a SVAR that identifies money policy shocks using timing restrictions.},
added-at = {2013-07-02T10:42:46.000+0200},
author = {Stock, James H. and Watson, Mark W.},
biburl = {https://www.bibsonomy.org/bibtex/2f9d54b4241ddb3c36cc618469ad7755c/jp},
description = {Implications of Dynamic Factor Models for VAR Analysis},
institution = {National Bureau of Economic Research},
interhash = {018259e61602f1ff3301a8758bb8190c},
intrahash = {f9d54b4241ddb3c36cc618469ad7755c},
keywords = {dynamic_factor_model econometric_theory favar structural_var var},
month = {July},
number = 11467,
series = {Working Paper Series},
timestamp = {2013-07-02T10:42:46.000+0200},
title = {Implications of Dynamic Factor Models for VAR Analysis},
type = {Working Paper},
url = {http://www.nber.org/papers/w11467},
year = 2005
}