Die deutsche Wirtschaft lässt die Rezession hinter sich. Ausweislich der Frühindikatoren wird das Bruttoinlandsprodukt nach dem Anstieg im ersten Quartal weiter aufwärtsgerichtet bleiben. Im Verlauf des Jahres werden die steigenden real verfügbaren Einkommen und das anziehende...

The COVID-19 crisis may have widely and permanently altered the labor market through the demand for skills. Crises tend to accelerate technological change. Previous recent crises were characterized by an acceleration of automation, which generally led to a decrease in middle-income jobs with...

The Hodrick-Prescott filter is a popular tool in macroeconomics for decomposing a time series into a smooth trend and a business cycle component. The last few years have witnessed global events, such as the Global Financial Crisis, the COVID-19 pandemic, and the war in Ukraine, that have had...

The COVID-19 crisis may have widely and permanently altered the labor market through the demand for skills. Crises tend to accelerate technological change. Previous recent crises were characterized by an acceleration of automation, which generally led to a decrease in middle-income jobs with...

The Hodrick-Prescott filter is a popular tool in macroeconomics for decomposing a time series into a smooth trend and a business cycle component. The last few years have witnessed global events, such as the Global Financial Crisis, the COVID-19 pandemic, and the war in Ukraine, that have had...

Die deutsche Wirtschaft lässt die Rezession hinter sich. Ausweislich der Frühindikatoren wird das Bruttoinlandsprodukt nach dem Anstieg im ersten Quartal weiter aufwärtsgerichtet bleiben. Im Verlauf des Jahres werden die steigenden real verfügbaren Einkommen und das anziehende...

In the wake of the global energy crisis, many European countries used energy price controls to fight inflation and to stabilize the economy. Despite its wide adoption, many economists remained skeptical. In this paper, we argue that price controls should be part of the policy toolbox to respond...

The crisis periods of the past decades have highlighted the difficulty of forecasting economic indicators due to increased non-linearity and rapidly changing dynamics. To address this challenge, we introduce the Transform-Sparsify-Forecast (TSF) framework. The TSF framework first applies...

This paper presents a comprehensive framework examining fiscal sustainabil- ity in developing economies. It integrates public capital, labor informality, and global liquidity shocks in a two-sector DSGE model for a small open economy, revealing their intricate interplay and nonlinear impact on...

We develop a novel method for the identification of monetary policy shocks. By applying natural language processing techniques to documents that Federal Reserve staff prepare in advance of policy decisions, we capture the Fed's information set. Using machine learning techniques, we then predict...