This paper proposes a large-scale Bayesian vector autoregression with factor stochastic volatility to investigate the macroeconomic consequences of international uncertainty shocks in G7 countries. The curse of dimensionality is addressed by means of a global-local shrinkage prior that mimics...

We perform a robust estimation of the Phillips curve in the euro area using a battery of 630 theory-driven models. We extend the existing literature by adding model specifications, taking into account the uncertainty in the measurement of variables and testing for potential non-linearities and...

We consider the effect of an increase in public investments on output in Europe against the background of a sharp drop of public investments in a number of EU countries during the crisis and subsequent policy discussions on the need to stimulate public investments. We start with a brief overview...

We test if unconventional monetary policy instruments influence the competitive conduct of banks. Between q2:2010 and q1:2012, the ECB absorbed e218 billion worth of government securities from five EMU countries under the Securities Markets Programme (SMP). Using detailed security holdings data...

This paper proposes a set of indicators relevant for the risk characteristics of covered bonds, as based on granular publicly available transparency data. The indicators capture various aspects of cash flow risks related to the issuer, the cover pool and the payment structure. They offer unified...

Time-varying parameter (TVP) models have the potential to be over-parameterized, particularly when the number of variables in the model is large. Global-local priors are increasingly used to induce shrinkage in such models. But the estimates produced by these priors can still have appreciable...

In this paper, we analyse the effects of a shock to global fnancial uncertainty and risk aversion on real economic activity. To this end, we extract a global factor, which explains approximately 40% of the variance of about 1000 risky asset returns from around the world. We then study how shocks...

Frequently, factors other than structural developments in technology and production effi- ciency drive changes in labor productivity in advanced and emerging market and developing economies (EMDEs). This paper uses a new method to extract technology shocks that ex- cludes these in uences,...

We address the identification of low-frequency macroeconomic shocks, such as technology, in Structural Vector Autoregressions. Whilst identification issues with long-run restrictions are well documented, we demonstrate that the recent attempt to overcome said issues using the Max-Share approach...

This paper extends the analysis of infinite dimensional vector autoregressive models (IVAR) proposed in Chudik and Pesaran (2010) to the case where one of the variables or the cross section units in the IVAR model is dominant or pervasive. This extension is not straightforward and involves...