Identifying News Shocks from SVARs

Patrick Fève and Ahmat Jidoud ()

No 12-287, TSE Working Papers from Toulouse School of Economics (TSE)

Abstract: This paper investigates the reliability of SVARs to identify the dynamic effects of news shocks. We show analytically that the dynamics implied by SVARs, using both long–run and short–run restrictions, are biased. However, the bias vanishes as long as news shocks account for most of the variability of the endogenous variable and the economy exhibits strong forward–looking behavior. Our simulation experiments confirm these findings and further suggest that the number of lags is a key ingredient for the success of the VAR setup. Furthermore, a simple correlation diagnostic test shows that news shocks identified using both restrictions are found to exhibit a correlation close to unity, provided that news shocks drive an overwhelming part of aggregate fluctuations.

Keywords: News shocks; SVARs; Identification; Diagnostic Test; Non–fundamentalness (search for similar items in EconPapers)
JEL-codes: C32 C52 E32 (search for similar items in EconPapers)
Date: 2012-03
New Economics Papers: this item is included in nep-ecm
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Citations: View citations in EconPapers (5)

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Related works:
Journal Article: Identifying News Shocks from SVARs (2012)
Working Paper: Identifying News Shocks from SVARs (2012)
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Persistent link: https://EconPapers.repec.org/RePEc:tse:wpaper:25750

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