An Introductory Review of a Structural VAR-X Estimation and Applications

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Autore principale: Sergio Ocampo
Natura: Artículo científico
Lingua:en
Pubblicazione: Universidad Nacional de Colombia 2012
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author Sergio Ocampo
author_facet Sergio Ocampo
contents An Introductory Review of a Structural VAR-X Estimation and Applications Sergio Ocampo Norberto Rodríguez Física, Astronomía y Matemáticas Econometrics Structural model Bayesian time series Vector autoregression This document presents how to estimate and implement a structural VAR-X model under long run and impact identification restrictions. Estimation by Bayesian and classical methods are presented. Applications of the structural VAR-X for impulse response functions to structural shocks, multiplier analysis of the exogenous variables, forecast error variance decomposition and historical decomposition of the endogenous variables are also described, as well as a method for computing higher posterior density regions in a Bayesian context. Some of the concepts are exemplified with an application to US data. 2012 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89925367003 en http://www.redalyc.org/revista.oa?id=899 Revista Colombiana de Estadística application/pdf Universidad Nacional de Colombia Revista Colombiana de Estadística (Colombia) Num.3 Vol.35
format Artículo científico
id redalyc_89925367003
institution Redalyc
language en
publishDate 2012
publisher Universidad Nacional de Colombia
spellingShingle An Introductory Review of a Structural VAR-X Estimation and Applications
Sergio Ocampo
Física, Astronomía y Matemáticas
Econometrics
Structural model
Bayesian time series
Vector autoregression
An Introductory Review of a Structural VAR-X Estimation and Applications Sergio Ocampo Norberto Rodríguez Física, Astronomía y Matemáticas Econometrics Structural model Bayesian time series Vector autoregression This document presents how to estimate and implement a structural VAR-X model under long run and impact identification restrictions. Estimation by Bayesian and classical methods are presented. Applications of the structural VAR-X for impulse response functions to structural shocks, multiplier analysis of the exogenous variables, forecast error variance decomposition and historical decomposition of the endogenous variables are also described, as well as a method for computing higher posterior density regions in a Bayesian context. Some of the concepts are exemplified with an application to US data. 2012 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89925367003 en http://www.redalyc.org/revista.oa?id=899 Revista Colombiana de Estadística application/pdf Universidad Nacional de Colombia Revista Colombiana de Estadística (Colombia) Num.3 Vol.35
title An Introductory Review of a Structural VAR-X Estimation and Applications
topic Física, Astronomía y Matemáticas
Econometrics
Structural model
Bayesian time series
Vector autoregression
url https://www.redalyc.org/articulo.oa?id=89925367003