VARs are a popular tool for forecasting and structural analysis, but ill-suited to handle occasionally binding constraints, like the effective lower bound on nominal interest rates. We extend the VAR framework by modeling interest rates as censored observations of a latent shadow-rate process,...

It is investigated whether Euro-area variables can be forecast better based on synthetic time series for the pre-Euro period or by using just data from Germany for the pre-Euro period. Our forecast comparison is based on quarterly data for the period 1970Q1 - 2003Q4 for ten macroeconomic...

This paper introduces a new regression model - Markov-switching mixed data sampling (MS-MIDAS) - that incorporates regime changes in the parameters of the mixed data sampling (MIDAS) models and allows for the use of mixed-frequency data in Markov-switching models. After a discussion of...

This paper provides evidence on the reliability of euro area real-time output gap estimates, including those provided by the IMF, OECD and EC and a set of model based measures. A genuine real-time data set is used, including vintages of several sets of euro area output gap estimates available...

We identify credible monetary policy with first, a disconnect between inflation and inflation expectations and second, the anchoring of the latter at the inflation target announced by the monetary authorities. We test empirically whether this is the case for a number of countries that have an...

This paper provides real time evidence on the usefulness of the euro area output gap as a leading indicator for inflation and growth. A genuine real-time data set for the euro area is used, including vintages of several alternative gap estimates. It turns out that, despite some difference across...

Our objective is to identify a way of checking empirically the extent to which expectations are de-coupled from inflation, how well they might be anchored in the long run, and at what level. This methodology allows us then to identify a measure for the degree of anchorness, and as anchored...

The COVID-19 pandemic has led to enormous data movements that strongly affect parameters and forecasts from standard VARs. To address these issues, we propose VAR models with outlier-augmented stochastic volatility (SV) that combine transitory and persistent changes in volatility. The resulting...

Temporal aggregation in general introduces a moving average (MA) component in the aggregated model. A similar feature emerges when not all but only a few variables are aggregated, which generates a mixed frequency model. The MA component is generally neglected, likely to preserve the possibility...