Measuring Monetary Policy with Residual Sign Restrictions at Known Shock Dates

Stefan Schiman and Harald Badinger
Additional contact information
Harald Badinger: WIFO

No 608, WIFO Working Papers from WIFO

Abstract: We propose a novel identification strategy to measure monetary policy in a structural VAR. It is based exclusively on known past policy shocks, which are uncovered from high-frequency data, and does not rely on any theoretical a-priori restrictions. Our empirical analysis for the euro area reveals that interest rate decisions of the ECB surprised financial markets at least fifteen times since 1999. This information is used to restrict the sign and magnitude of the structural residuals of the policy rule equation at these shock dates accordingly. In spite of its utmost agnostic nature, this approach achieves strong identification, suggesting that unexpected ECB decisions have an immediate impact on the short-term money market rate, the narrow money stock, commodity prices, consumer prices and the euro-dollar exchange rate, and that real output responds gradually. Our close to assumption-free approach obtains as an outcome what traditional sign restrictions on impulse responses impose as an assumption.

Keywords: ECB; Monetary Policy; Set Indentification; Structural VAR (search for similar items in EconPapers)
Pages: 36 pages
Date: 2020-09
New Economics Papers: this item is included in nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.wifo.ac.at/wwa/pubid/66344 abstract (text/html)

Related works:
Working Paper: Measuring Monetary Policy with Residual Sign Restrictions at Known Shock Dates (2020)
Working Paper: Measuring Monetary Policy with Residual Sign Restrictions at Known Shock Dates (2020)
Working Paper: Measuring Monetary Policy with Residual Sign Restrictions at Known Shock Dates (2020)
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:wfo:wpaper:y:2020:i:608

Access Statistics for this paper

More papers in WIFO Working Papers from WIFO Contact information at EDIRC.
Bibliographic data for series maintained by Florian Mayr ().