This volume contains a collection of papers, commentaries and speeches that review the strategic and operational decisions taken by the central banks to combat the crisis and that reflect on the lessons for the future. The contributions are grouped around five broad topics: monetary policy...

This volume contains a collection of papers, commentaries and speeches that review the strategic and operational decisions taken by the central banks to combat the crisis and that reflect on the lessons for the future. The contributions are grouped around five broad topics: monetary policy...

This volume contains a collection of papers, commentaries and speeches concerning the first decade of the euro and the recent global financial crisis.

The US Federal Reserve cut interest rates more vigorously in the recent recession than the European Central Bank did. By comparison with the Fed, the ECB followed a more measured course of action. We use an estimated dynamic general equilibrium model with financial frictions to show that...

This paper analyses the real-time forecasting performance of the New Keynesian DSGE model of Galí, Smets, and Wouters (2012) estimated on euro area data. It investigates to what extent forecasts of inflation, GDP growth and unemployment by professional forecasters improve the forecasting...

We study the effects of information shocks on macroeconomic and term structure dynamics in an estimated medium-scale DSGE model for the US economy. We consider news about total factor productivity and investment-specific technology, as well as foresight about monetary policy. Our empirical...

How much did fiscal policy contribute to euro area real GDP growth during the Great Recession? We estimate that discretionary fiscal measures have increased annualized quarterly real GDP growth during the crisis by up to 1.6 percentage points. We obtain our result by using an extended version of...

This paper develops a multi-way analysis of variance for non-Gaussian multivariate distributions and provides a practical simulation algorithm to estimate the corresponding components of variance. It specifically addresses variance in Bayesian predictive distributions, showing that it may be...