This paper analyses the impact of the Covid-19 pandemic on stock market returns and their volatility in the case of the G20 countries. In contrast to the existing empirical literature, which typically focuses only on either Covid-19 deaths or lockdown policies, our analysis is based on a...

This paper analyzes the initial impact and recovery of globally engaged firms from the COVID-19 crisis. It uses rich survey data of nearly 65,000 firm-year observations in 45 countries spanning three waves of data collection. The findings are organized in a series of stylized facts, which...

We combine phone-survey data from 2,200 students collected in July-August of 2020 with student-level administrative data from 54 schools in four Northwestern provinces of Cambodia to investigate the implications of the COVID-19 pandemic for grade 9 students. These students were particularly...

This paper introduces the third update/release of the Global Sanctions Data Base (GSDB-R3). The GSDB-R3 extends the period of coverage from 1950-2019 to 1950-2022, which includes two special periods – COVID-19 and the war between Russia and Ukraine. The new update of the GSDB contains a total...

While the COVID-19 pandemic had a large and asymmetric impact on firms, many countries quickly enacted massive business rescue programs which are specifically targeted to smaller firms. Little is known about the effects of such policies on business entry and exit, factor reallocation, and...

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 develop a theory of economic disintegration with both endogenously formed tax and trade policies. We show very generally that, contrary to conventional wisdom, a country’s disintegration from an integrated area leads to a deeper integration inside the area. Similarly, the departure of a...

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...

In early 2020, the disease Covid-19 caused a drastic lockdown of the Chinese economy. We use a quantitative trade model with input-output linkages to gauge the effects of this adverse supply shock in China on the global economy through international trade and global value chains (GVCs). We find...

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...