This paper examines the role of various socioeconomic factors in mediating the local and cross-city transmissions of the novel coronavirus 2019 (COVID-19) in China. We implement a machine learning approach to select instrumental variables that strongly predict virus transmission among the rich...

This paper models the local and cross-city transmissions of the novel coronavirus in Chinabetween January 19 and February 29 in 2020. We examine the role of various socioeconomicmediating factors, including public health measures that encourage social distancing in localcommunities. Weather...

We analyse the content of Italian occupations operating in about 600 sectors with a focus on the dimensions that expose workers to contagion risks during the COVID-19 epidemics. To do so we leverage extremely detailed and granular information from ICP, the Italian equivalent of O*Net. We find...

COVID-19 mystery feeds the belief that the reported morbidity rates are not related to the true ones and that large parts of the population are already infected, the virus is not very dangerous, and the lockdown is unnecessary. Yet one observes two very strong correlations that disprove this...

Using longitudinal data from a representative UK panel, we focus on a group of apparently healthy individuals with no history of disability or major chronic health condition at baseline. A latent variable structural equation model is used to analyse the predictive role of latent baseline...

The recent global COVID-19 pandemic forced most of governments in developed countries to introduce severe measures limiting people mobility freedom in order to contain the infection spread. Consequently, working from home (WFH) procedures became of great importance for a large part of employees,...

In this paper, we document the short-term impact of COVID-19 on labour mar- ket outcomes in Canada. Following a pre-analysis plan, we investigate the negative impact of the pandemic on unemployment, labour force participation, hours and wages in Canada. We find that COVID-19 had drastic negative...

Better understanding whether and how communities respond to government decisions is crucial for policy makers and health offcials in response to the COVID-19 pandemic. In this study, we document the socioeconomic determinants of COVID-19 stay-at-home orders' compliance in the U.S. Using cell...

In this paper, we examine the short-term consequences of COVID-19 and evaluate the impacts of stay-at-home orders on employment and wages in the United States. Guided by a pre-analysis plan, we document that COVID-19 increased the unemployment rate, decreased hours of work and labor force...

Using the Canadian Labour Force Survey, we document the short-term impact of COVID-19 on self-employed individuals in Canada, which we interpret as small business owners. We document an important decrease in business ownership between February 2020 and May 2020 (-14.8 percent for incorporated...