Reassessing Proxy-based Identification of Multiple Monetary Policy Shocks for the Euro Area, the US, and the UK

DIW Discussion Papers 2163, 27 S.

Martin Bruns, Helmut Lütkepohl, James McNeil

2026

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Abstract

Several recent studies consider a set of proxies to identify different monetary policy shocks for different regions in the world. We show that the way the proxies are used to identify the monetary policy shocks may lead to correlated shocks and dubious structural analysis and we demonstrate how to overcome the problem of correlated shocks. We illustrate that, if correlated shocks are used in applied studies, key statistics of interest such as impulse responses and forecast error variance decompositions can be severely distorted and we consider benchmark studies on monetary policy in the euro area (EA), the US and the UK to demonstrate the problems.



JEL-Classification: C32
Keywords: Structural vector autoregression, proxy VAR, GMM, correlated structural shocks

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