The impact of the Covid-19 pandemic on the UK labour market has been extremely heterogeneous across occupation and industrial sectors. Using novel data on job search, we document how individuals adjust their job search behaviour in response to changing employment patterns across occupations and...

We develop a novel approach integrating epidemiological and economic models that allows databased simulations during a pandemic. We examine the economically optimal opening strategy that can be reconciled with the containment of a pandemic. The empirical evidence is based on data from Germany...

Has the COVID-19 pandemic affected pro-sociality among individuals? After the onset of the pandemic, many charitable appeals were updated to include a reference to COVID-19. Did donors increase their giving in response to such changes? In order to answer these questions, we conducted a...

Schools have been very central in the debate about COVID-19. On one hand, there have been many supporters of the argument to keep them open, for their importance for the youngsters, and for the effort many countries played in establishing protocols to keep them safe. On the other hand, a...

On 3 June 2020, the German government announced a EUR 130 billion fiscal stimulus package to stimulate market demand and jumpstart the economy in the wake of the COVID-19 pandemic lockdown in the spring of 2020. The most prominent measure of this package is an unconventional fiscal policy in the...

This study quantifies the economic impacts of SARS on the four affected Asian economies and the two most affected Chinese regions using synthetic control methods with macroeconomic and remote-sensing nightlight data. For the four affected economies (China, Hong Kong, Taiwan, and Singapore), we...

We examine the relationship between contemporaneous fine particulate matter exposure and COVID-19 morbidity and mortality using an instrumental variable approach based on wind direction. Harnessing daily changes in county-level wind direction, we show that arguably exogenous fluctuations in...

Firm-level stock returns differ enormously in reaction to COVID-19 news. We characterize these reactions using the Risk Factors discussions in pre-pandemic 10-K filings and two text-analytic approaches: expert-curated dictionaries and supervised machine learning (ML). Bad COVID-19 news lowers...