We assess the macroeconomic impact of pandemic-related monetary policy measures of the ECB. Conditioning on counterfactual interest rate paths that would have materialised in the absence of the policies, the macroeconomic effects are measured using structural vector autoregressions. In the...

This paper estimates monetary policy shocks for Sweden between 1996-2019. I employ the Romer and Romer (2004) (R&R) approach and use annual forecasts of output growth and inflation to estimate monetary policy shocks. I complement the analysis with shocks from a recursive VAR including output,...

Badinger and Schiman (2023) use a narrative high-frequency analysis of news and financial markets to develop a small set of restrictions on the structural shocks of a VAR of the Euro area. Their approach does not uniquely identify a structural representation, so their results are based on the...

This paper explores the effects of non-standard monetary policies on international yield relationships. Based on a descriptive analysis of international long-term yields, we find evidence that long-term rates have followed a global downward trend prior to as well as during the financial crisis....

The paper focuses on analysis of monetary policy transmission mechanism in V4 countries and EMU12. The aim of analysis is to verify the reaction of endogenous variables in case of monetary policy shocks with an emphasis on transmission through interest rate channel and its impact on inflation,...

We combine the factor augmented VAR framework with recently developed estimation and identification procedures for sparse dynamic factor models. Working with a sparse hierarchical prior distribution allows us to discriminate between zero and non-zero factor loadings. The non-zero loadings...

Since the Great Recession, the main evolution in monetary policy has been its attempts to affect the medium and the long-term interest rates with instruments other than the policy rate. Consequently, measuring the stance of monetary policy by a single interest rate becomes problematic. This...

We use a time-varying parameter dynamic factor model with stochastic volatility (DFM-TV-SV) estimated using Bayesian methods to disentangle the relative importance of the common component in FHFA house price movements from state-specific shocks, over the quarterly period of 1975Q2 to 2017Q4. We...

We introduce a structural vector autoregressive model containing strictly positive components. Our nonlinear model results in explicit formulae for impulse response and forecast error variance decomposition analyses, which ease practical computations and structural interpretations. We illustrate...