Should the intellectual property rights on the first Covid-19 vaccines be temporarily lifted in applying the Trade-Related Aspect of Intellectual Property (TRIPS) flexibility? Is it right to grant the first generation of Covid-19 vaccines a special treatment from an IPR perspective? On what...

This paper examines the effects of the COVID-19 pandemic on the returns to education in the United States. Using data from the Current Population Survey 2011-2022, the analysis reveals that, after a period of decline, returns to education increased significantly because of COVID, particularly...

The goal of this piece is to survey the emerging and rapidly growing literature on the economic consequences of COVID-19 and governmental responses, and to synthetize the insights emerging from a very large number of studies. This survey (i) provides an overview of the data sets used to measure...

COVID-19 substantially decreased employment, but the effects vary among demographic and socioeconomic groups. We document the employment losses in April 2020 across various groups using the U.S. Current Population Survey. The unemployment rate understates employment losses. We focus on the...

This paper examines whether the intensity of Non-Pharmaceutical Interventions (NPIs) during the COVID-19 pandemic has differentially impacted the public sector labor market outcomes. This extends the analysis of the already documented negative economic consequences from COVID-19 and their...

An aspect of the Covid-19 pandemic that merits attention is its effects on marriage and childbirth. Although the direct fertility effects of peo- ple getting the virus may be minor, the impact of delayed marriages due to the first preventive lockdown, such as that imposed in Pakistan from March...

Feedback control-based mitigation strategies for COVID-19 are threatened by the time span occurring before an infection is detected in official data. Such a delay also depends on behavioral, technological and procedural issues other than the incubation period. We provide a machine learning...

Identifying structural breaks in the dynamics of COVID-19 contagion is crucial to promptly assess policies and evaluate the effectiveness of lockdown measures. However, official data record infections after a critical and unpredictable delay. Moreover, people react to the health risks of the...