Mixed-data sampling (MIDAS) regressions allow to estimate dynamic equations that explain a low-frequency variable by high-frequency variables and their lags. To account for temporal instabilities in this relationship, this paper discusses an extension to MIDAS with time-varying parameters, which...

The degree of comovement of economic activity across states or regions is an issue of utmost importance to policymakers. Asymmetric business cycles are often seen as an impediment to the formation of a common currency area. However, it has been argued that a common monetary policy in itself...

This paper investigates the accuracy of point and density forecasts of four dynamic stochastic general equilibrium (DSGE) models for output growth, inflation and the interest rate. The model parameters are estimated and forecasts are derived successively from historical U.S. data vintages...

In this paper I use the predictive distribution of the back-, now- and forecasts obtained with a mixed-frequency Bayesian VAR (MF-BVAR) to provide a real-time assessment of the probability of a recession in the euro area for the period from 2003 until 2013. Using a dataset that consists of 135...

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...

We use a Markow-switching dynamic factor model with three states for Germany with indicators selected by the Elastic Net. The states represent expansions, normal - and severe recessions. Adding a third state helps to identify all business cycle turning points in-sample and in real-time....

We examine the behavior of forecasts for real GDP growth using a large panel of individual forecasts from 30 advanced and emerging economies during 1989-2010. Our main findings are as follows. First, our evidence does not support the validity of the sticky information model (Mankiw and Reis,...

Certainly the current crisis is affecting seriously the convergence process in EU. Starting from the spatial distribution in EU of some fundamental development indicators before the current crisis, we try to estimate the impact of the prolonged crisis. During last years, the less developed...

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...

We contribute to the recent literature on the economic effects of those weather conditions that deviate from their regular seasonal pattern. To this end we use local temperature and snow measurements across Germany to analyze their impact on German monthly total industrial and...