We employ panel data from three waves of a large representative population survey carried out between June and November 2020 to assess in what regards and to what extent different groups of the German population are affected by the COVID- 19 crisis. Using common factor analysis, we demonstrate...

We study the impact of short-term exposure to ambient air pollution on the spread and severity of COVID-19 in Germany. We combine data on county-by-day level on confirmed cases and deaths with information on local air quality and weather conditions and exploit short-term variation in the...

There is significant cross-country variation in Covid-19 fatalities worldwide. In this study, we analyze the relationship between political trust and fatalities of the Covid-19 pandemic. By performing a cross-country analysis and controlling for other determinants, we find that government trust...

The purpose of this study is to examine the relationship between globalization, Coronavirus Disease 2019 (COVID-19) cases, and associated deaths in more than 100 countries. Our ordinary least squares multivariate regressions show that countries with higher levels of socio-economic globalization...

This systematic review covers 56 studies that measure the effects of school closures on learning outcomes during the coronavirus disease (COVID-19) pandemic and 20 studies that evaluate the impact of measures to reduce learning loss. It restricts attention to evaluations with credible control...

The COVID-19 pandemic is producing a global health and economic crisis. The entire globe is facing the trade-off between health and recessionary effects. This paper investigates this trade-off according to a macro-dynamic perspective. We set up and simulate a Dynamic Stochastic General...

This paper examines how households adjusted their consumption behavior in response to COVID-19 infection risk during the early phase of the pandemic. We use a monthly consumption survey specifically designed by the German Statistical Office covering the second wave of COVID-19 infections from...

Understanding demand for state regulation is a foundational issue for social science. To account for this demand, existing theories rooted in market failure and government failure have focused on various forms of trust, but have paid little attention to fear. We test how fear and trust shape...

This paper provides a critical review of models of the spread of the coronavirus (SARS-CoV-2) that have been influential in recent policy discussions. It notes potentially important features of the real- world environment that the standard models do not incorporate and discusses reasons why...

We embed a lockdown choice in a simplified epidemiological model and derive formulas for the optimal lockdown intensity and duration. The optimal policy reflects the rate of time preference, epidemiological factors, the hazard rate of vaccine discovery, learning effects in the health care...