STRUCTURAL VECTOR AUTOREGRESSIONS: CHECKING IDENTIFYING LONG‐RUN RESTRICTIONS VIA HETEROSKEDASTICITY. (5th December 2014)

• Record Type: Journal Article
• Authors: Lütkepohl, Helmut; Velinov, Anton
• Is Part Of: Journal of economic surveys. Volume 30:Number 2(2016:Apr.)
• Page Start: 377
• Page End: 392
• Publication Date: 2014-12-05
• Subjects: Conditional heteroskedasticity -- heteroskedasticity -- Markov switching model -- vector autoregression -- vector GARCH; Economics -- Periodicals; 330
• DOI: 10.1111/joes.12100
• Languages: English
• ISSNs: 0950-0804

Abstract

Abstract: Long‐run restrictions have been used extensively for identifying structural shocks in vector autoregressive (VAR) analysis. Such restrictions are typically just‐identifying but can be checked by utilizing changes in volatility. This paper reviews and contrasts the volatility models that have been used for this purpose. Three main approaches have been used, exogenously generated changes in the unconditional residual covariance matrix, changing volatility modelled by a Markov switching mechanism and multivariate generalized autoregressive conditional heteroskedasticity models. Using changes in volatility for checking long‐run identifying restrictions in structural VAR analysis is illustrated by reconsidering models for identifying fundamental components of stock prices.