We propose a model that (i) provides an algorithm for measuring temporal variation in domestic violence incidence based on internet search activity and (ii) makes precise the conditions under which this measure yields less biased estimates of the domestic violence problem during periods of...

IMF programs are often considered to carry a “stigma” that triggers adverse market reactions. We show that such a negative IMF effect disappears when accounting for endogenous selection into programs. To proxy for a country's access to financial markets, we use credit ratings and investor...

We investigate the relationship between oil prices and stock markets of selected oil importers and oil exporters at the time of the COVID-19 pandemic. We provide evidence in favour of energy contagion, in term of significantly higher correlations between oil and stock markets returns during...

We employ a unique hand-collected dataset and a novel methodology to examine systemic risk before and after the largest U.S. banking crisis of the 20th century. Our systemic risk measure captures both the credit risk of an individual bank as well as a bank’s position in the network. We...

Using European Commission real-time data, we show that potential output (PO) estimates were substantially and persistently revised downwards after the Great Recession. We decompose PO revisions into revisions of the capital stock, trend labor, and trend total-factor productivity (TFP)....

We propose a theoretical framework to reconcile episodes of V-shaped and L-shaped recovery, encompassing the behaviour of the U.S. economy before and after the Great Recession. In a DSGE model with endogenous growth, negative demand shocks destroy productive capacity, moving GDP to a lower...

Germany’s comparatively good economic performance throughout the Great Recession of the years 2008/2009 is often attributed to the business model of the German Mittelstand firm. Somewhat surprisingly, this claim has never been backed by empirical evidence. In this paper we use micro panel data...

We employ a nonlinear VAR framework and a state-of-the-art identification strategy to document the large response of real activity to a financial uncertainty shock during and in the aftermath of the great recession. We replicate this evidence with an estimated DSGE framework featuring a concept...

We examine the supply-side characteristics - unskilled labor, imported input intensity, dependence on inputs from China, production complexity - that determine different potential vulnerabilities of traded products to the COVID-19 pandemic. Relying on monthly exports at the product level by all...