I present evidence that the linear mixed-frequency Bayesian VAR provides very sharp and well calibrated monthly real-time recession probabilities for the euro area for the period from 2004 until 2013. The model outperforms not only the univariate regime-switching models for a number of hard and...

We study the forecasting performance of three alternative large scale approaches using a dataset for Germany that consists of 123 variables in quarterly frequency. These three approaches handle the dimensionality problem evoked by such a large dataset by aggregating information, yet on different...

The paper investigates the sources of macroeconomic forecast errors in Germany. The predictions of the so-called "six leading" research institutes are analyzed. The forecast errors are discussed within an aggregate demand/supply scheme. Structural Vector Autoregressive Models are estimated to...

Economic policy interventions of a scale as effected in eastern Germany can be expected to have a significant impact on the economy, which may be in accordance with the objectives of the policy measures or manifest itself in distortions of several kinds. This paper analyzes the structural...

I study the performance of single predictor bridge equation models as well as a wide range of model selection and pooling techniques, including Mallows model averaging and Cross-Validation model averaging, for short-term forecasting euro area GDP growth. I explore to what extend model selection...

Output gap estimates at the current edge are subject to severe revisions. This study analyzes whether monetary aggregates can be used to improve the reliability of early output gap estimates as proposed by several theoretical models. A real-time experiment shows that real M1 can improve output...

In this paper, we use survey data to analyze the rationality of professional macroeconomic forecasts. We analyze both individual forecasts and average forecasts. We provide evidence on the properties of forecasts for all the G7-counties and four different macroeconomic variables. Furthermore, we...

In this paper we analyze the power of various indicators to predict growth rates of aggregate production using real-time data. In addition, we assess their ability to predict turning points of the economy. We consider four groups of indicators: survey data, composite indicators, real economic...

With the widespread application of inventory control Systems in industry and trade and a fast growing Services sector the influence of inventory changes on the business sector should become less important over time. However, the empirical eyidence for Germany in the period 1970-1994 shows that...

We propose a simple modification of Hamilton's (2018) time series filter that yields reliable and economically meaningful real-time output gap estimates. The original filter relies on 8 quarter ahead forecast errors of a simple autoregression of real GDP. While this approach yields a cyclical...