Proxy structural vector autoregressions, informational sufficiency and the role of monetary policy

Mirela Miescu () and Haroon Mumtaz
Additional contact information
Haroon Mumtaz: Queen Mary University of London

No 894, Working Papers from Queen Mary University of London, School of Economics and Finance

Abstract: We show that the contemporaneous and longer horizon impulse responses estimated using small-scale Proxy structural vector autoregressions (SVARs) can be severely biased in the presence of information insufficiency. Instead, we recommend the use of a Proxy Factor Augmented VAR (FAVAR) model that remains robust in the presence of this problem. In an empirical exercise, we demonstrate that this issue has important consequences for the estimated impact of monetary policy shocks in the US. We find that the impulse responses of real activity and prices estimated using a Proxy FAVAR are substantially larger and more persistent than those suggested by a small-scale Proxy SVAR.

Keywords: information sufficiency; dynamic factor models; instrumental variables; monetary policy; structural VAR (search for similar items in EconPapers)
JEL-codes: C36 C38 E52 (search for similar items in EconPapers)
Date: 2019-09-16
New Economics Papers: this item is included in nep-mac, nep-mon and nep-ore
References: Add references at CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
https://www.qmul.ac.uk/sef/media/econ/research/workingpapers/2019/wp894.pdf (application/pdf)

Related works:
Working Paper: Proxy structural vector autoregressions, informational sufficiency and the role of monetary policy (2019)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:qmw:qmwecw:894

Access Statistics for this paper

More papers in Working Papers from Queen Mary University of London, School of Economics and Finance Contact information at EDIRC.
Bibliographic data for series maintained by Nicholas Owen ( this e-mail address is bad, please contact ).