Structural Vector Autoregressions with Heteroskedasticity - A Comparison of Different Volatility Models
Helmut Luetkepohl and
Aleksei Netšunajev ()
Authors registered in the RePEc Author Service: Helmut Lütkepohl ()
No 5308, CESifo Working Paper Series from CESifo Group Munich
A growing literature uses changes in residual volatility for identifying structural shocks in vector autoregressive (VAR) analysis. A number of different models for heteroskedasticity or conditional heteroskedasticity are proposed and used in applications in this context. This study reviews the different volatility models and points out their advantages and drawbacks. It thereby enables researchers wishing to use identification of structural VAR models via heteroskedasticity to make a more informed choice of a suitable model for a specific empirical analysis. An application investigating the interaction between U.S. monetary policy and the stock market is used to illustrate the related issues.
Keywords: structural vector autoregression; identification via heteroskedasticity; conditional heteroskedasticity; smooth transition; Markov switching; GARCH (search for similar items in EconPapers)
JEL-codes: C32 (search for similar items in EconPapers)
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Working Paper: Structural Vector Autoregressions with Heteroskedasticity: A Comparison of Different Volatility Models (2015)
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Persistent link: https://EconPapers.repec.org/RePEc:ces:ceswps:_5308
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