We analyze the contribution of credit spread, house and stock price shocks to GDP growth in the US based on a Bayesian VAR with time-varying parameters estimated over 1958-2012. Our main findings are: (i) The contribution of financial shocks to GDP growth fluctuates from about 20 percent in...

Temporal aggregation in general introduces a moving average (MA) component in the aggregated model. A similar feature emerges when not all but only a few variables are aggregated, which generates a mixed frequency model. The MA component is generally neglected, likely to preserve the possibility...

We explore whether modelling parameter time variation improves the point, interval and density forecasts of nine major exchange rates vis-a-vis the US dollar over the period 1976-2015. We find that modelling parameter time variation is needed for an accurate calibration of forecast confidence...

The COVID-19 pandemic has led to enormous data movements that strongly affect parameters and forecasts from standard VARs. To address these issues, we propose VAR models with outlier-augmented stochastic volatility (SV) that combine transitory and persistent changes in volatility. The resulting...

VARs are a popular tool for forecasting and structural analysis, but ill-suited to handle occasionally binding constraints, like the effective lower bound on nominal interest rates. We extend the VAR framework by modeling interest rates as censored observations of a latent shadow-rate process,...

We propose an arbitrage-free shadow-rate term structure model to analyze the euro-area yield curve from 1999 to mid-2015, when bond yields turned negative at various maturities. In the model the 'shadow rate' can reach any positive or negative level, while the actual one-month rate cannot fall...

We assess the effects of financial shocks on inflation, and to what extent financial shocks can account for the "missing disinflation" during the Great Recession. We apply a vector autoregressive model to US data and identify financial shocks through sign restrictions. Our main finding is that...

We document that expansionary monetary policy shocks are less effective at stimulating output and investment in periods of high volatility compared to periods of low volatility, using a regime-switching vector autoregression. The lower effectiveness of monetary policy can be linked to weaker...

We investigate the pass-through of monetary policy to bank lending rates in the euro area during the sovereign debt crisis, in comparison to the pre-crisis period. We make the following contributions. First, we use a factor-augmented vector autoregression, which allows us to assess the responses...

We use a newly constructed narrative measure of regulatory bank capital requirement tightening events (Eickmeier et al., 2018) to examine their effects on household income and expenditure inequality in the US. Income and expenditure inequality both decline (the latter decline being slightly less...