Social distancing requirements associated with COVID-19 have led to school closures. In April, 192 countries had closed all schools and universities, affecting more than 90 percent of the world's learners: over 1.5 billion children and young people. Closures are expected to reduce schooling and...

We use quarterly panel data from the COME-HERE survey covering five European countries to analyse three facets of the experience of loneliness during the COVID-19 pandemic. First, in terms of prevalence, loneliness peaked in April 2020, followed by a U-shape pattern in the rest of 2020, and then...

This paper investigates the regional differences in the spread of COVID-19 infections in Germany. A machine learning selection procedure is used to reduce variables from a pool of potential influencing variables. The empirical analysis shows that both regional structural variables and regionally...

We develop a multi-sectoral matching model to predict the impact of the lockdown on the US unemployment, considering the heterogeneity of workers to account for the contrasted impacts across various types of jobs. We show that separations and business closures that hit the workers with the first...

We provide novel evidence on how the COVID-19 global health and economic crisis is affecting overall life satisfaction and domain-specific satisfaction using data from a monthly longitudinal survey of middle-aged and older Singaporeans. Using a difference-in-differences framework, we document...