We examine how the occurrence of natural disasters impact the US economy and financial markets using monthly data since 2000. Our analysis reveals large sustained adverse effects of disasters on overall economic activity, with significant implications across various sectors including labor,...

As central banks, including the European Central Bank (ECB), adopt climaterelated responsibilities, gauging public support becomes essential. Drawing on a June 2023 Bundesbank household survey, we find that 69% of households report increased trust in the ECB due to its climate actions, valuing...

We estimate indicators of aggregate demand and supply conditions based on a structural factor model using a large number of inflation and real activity measures for the United States. We identify demand and supply factors by imposing theoretically motivated sign restrictions on factor loadings....

We examine public trust in the European Central Bank (ECB) and its determinants using data from the Bundesbank Household Panel survey for Germany. Employing an interdisciplinary approach that integrates insights from political science and psychology, we offer a fresh perspective on the factors...

We use a newly constructed narrative measure of regulatory bank capital requirement tightening events (Eickmeier et al., 2018) to examine their effects on household income and expenditure inequality in the US. Income and expenditure inequality both decline (the latter decline being slightly less...

Bank capital regulations are intended to enhance financial stability in the long run, but may, in the meanwhile, involve costs for the real economy. To examine these costs we propose a narrative index of aggregate tightenings in regulatory US bank capital requirements from 1979 to 2008....

We estimate indicators of aggregate demand and supply conditions based on a structural factor model using a large number of inflation and real activity measures for the United States. We identify demand and supply factors by imposing theoretically motivated sign restrictions on factor loadings....

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,...

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...