Economic policy makers, international organisations and private-sector forecasters commonly use short-term forecasts of real GDP growth based on monthly indicators, such as industrial production, retail sales and confidence surveys. An assessment of the reliability of such tools and of the...

Economic policy makers, international organisations and private-sector forecasters commonly use short-term forecasts of real GDP growth based on monthly indicators, such as industrial production, retail sales and confidence surveys. An assessment of the reliability of such tools and of the...

We model economic policy uncertainty (EPU) in the four largest euro area countries by applying machine learning techniques to news articles. The unsupervised machine learning algorithm used makes it possible to retrieve the individual components of overall EPU endogenously for a wide range of...

This paper explores how changes in macroeconomic uncertainty have affected the decision to participate in the European Central Bank's Survey of Professional Forecasters. Two different approaches are employed in order to address this question. First, a time-series analysis explores if changes in...

The sovereign debt crisis in the euro area has increased the interest in early warning indicators, with the aim to indicate the build up of fiscal stress early on and to facilitate crisis prevention by a timely counteraction of fiscal and macroeconomic policies. This paper presents possible...

We estimate a FAVAR with Bayesian techniques in order to investigate the impact of loan supply conditions on euro area corporate investment and its financing structure. We identify shocks to overall demand and loan supply with sign and impact restrictions. Although tightened financial conditions...

The COVID-19 pandemic has increased the need for timely and granular information to assess the state of the economy in real time. Weekly and daily indices have been constructed using higher frequency data to address this need. Yet the seasonal and calendar adjustment of the underlying time...

This paper presents a quarterly global model linking individual country vector errorcorrecting models in which the domestic variables are related to the country-specific foreign variables. The global VAR (GVAR) model is estimated for 26 countries, the euro area being treated as a single economy,...

Euro area GDP and components are nowcast and forecast one quarter ahead. Based on a dataset of 163 series comprising the relevant monthly indicators, simple bridge equations with one explanatory variable are estimated for each. The individual forecasts generated by each equation are then pooled,...

This paper employs an aggregate representation of an overlapping generation (OLG) model quantifying a decrease of the natural real interest rate in the range of -1.7 and -0.4 percentage points in the euro area between 1990 and 2030 due to demographics alone. Two channels contribute to this...