The detection of business-cycle turning points is usually performed with non-linear discrete-regime models such as binary dependent variable (e.g., probit or logit) or Markov-switching methods. The probit model has the drawback that the continuous underlying target variable is discretized, with...

The use of large datasets for macroeconomic forecasting has received a great deal of interest recently. Boosting is one possible method of using high-dimensional data for this purpose. It is a stage-wise additive modelling procedure, which, in a linear specification, becomes a variable selection...

The slow recovery following the 2008/2009 recession has led to renewed interest in the question whether deep recessions lower real GDP permanently or whether we can expect a rebound to earlier trend levels. Using a recent quantile autoregression unit root test we check whether shocks to real GDP...

In this paper, we use the estimated three-region DSGE model GEAR, which pictures Germany, the Euro Area and the Rest of the world and which is used by the Deutsche Bundesbank for policy analysis, to analyze how discretionary fiscal policy in Germany and the rest of EMU affected GDP growth and...

Recent theoretical developments in exchange rate economics have led to important new insights into the functioning of the foreign exchange market. The simple models of the 1970s, which could not withstand empirical evaluation, have been succeeded by more complex models that draw on theoretical...