We study the link between the global financial cycle and macroeconomic tail risks using quantile vector autoregressions. Contractionary shocks to financial conditions and monetary policy in the United States cause elevated downside risks to growth around the world. By tightening financial...

In structural vector autoregressive models of United States and euro area manufacturing, we use sign restrictions to identify shocks that alter the frictions to Chinese supply chain trade. We find a quantitatively significant role of such shocks for the decline of US manufacturing output at the...

Highly interconnected global supply chains make countries vulnerable to supply chain disruptions. This paper estimates the macroeconomic effects of global supply chain shocks for the euro area. Our empirical model combines business cycle variables with data from international container trade....

Output gap revisions can be large even after many years. Real-time reliability tests might therefore be sensitive to the choice of the final output gap vintage that the real-time estimates are compared to. This is the case for the Federal Reserve's output gap. When accounting for revisions in...

Optimal monetary policy studies typically rely on a single structural model and identification of model-specific rules that minimize the unconditional volatilities of inflation and real activity. In our proposed approach, we take a large set of structural models and look for the model-robust...

We analyze the impact of economic conditions at arrival on the economic integration of family-sponsored migrants in the U.S. A one pp higher unemployment rate at arrival decreases annual wage income by four percent in the short run and two percent in the longer run. The loss in wage income...

The cross-sectional average of pairwise correlations across stocks traded on the NYSE, AMEX, and Nasdaq is a powerful predictor of U.S. economic activity at a horizon of one to four years. Its predictive ability is on a par with the slope of the yield curve and significantly exceeds that of some...

Climate change has become one of the most prominent concerns globally. In this paper, we study the transition risk of greenhouse gas emission reduction in structural environmental-macroeconomic DSGE models. First, we analyze the uncertainty in model prediction on the effect of unanticipated and...

I propose a novel approach to uncover business cycle reports' priorities and relate them to economic fluctuations. To this end, I leverage quantitative business-cycle forecasts published by leading German economic research institutes since 1970 to estimate the proportions of latent topics in...