By employing large panels of survey data for the UK economy, we aim at reviewing linear approaches for regularisation and dimension reduction combined with techniques from the machine learning literature, like Random Forests, Support Vector Regressions and Neural Networks for forecasting GDP...

Central banks' decisions are a function of forecasts of macroeconomic fundamentals. Because private sector forecasts are not bound to be equal to central banks' forecasts, what markets label as unexpected may or may not be unanticipated by the central bank. Monetary surprises can thus...

Despite years of research, there is still uncertainty around the effects of monetary policy shocks. We reassess the empirical evidence by combining a new identification that accounts for informational rigidities, with a flexible econometric method robust to misspecifications that bridges between...

IV methods have become the leading approach to identify the effects of macroeconomic shocks. Conditions for identification generally involve all the shocks in the VAR even when only a subset of them is of interest. This paper provides more general conditions that only involve the shocks of...

We compare the macroeconomic and financial spillovers of the unconventional monetary policies of the Fed and the ECB. Monetary policy tightenings in the two areas are followed by a contraction in global activity and trade, a retrenchment in global capital flows, a fall in global stock markets,...