FOG (« fear of going back to work ») is a new acronym reflecting workers stress to become contamined by COVID-19. In response, firms have been offering protections, extending teleworking as a way to continue to work during the pandemics. Leveraging a classical epidemiologic SIR model, we study...

We predict the portfolio of COVID-19 vaccination drivers through a large set of Machine Learning techniques for 5 European countries. Risk perceptions matter, on top of citizens’ trust anchored in how institutions have been performing to fight the pandemic before vaccine discovery. We also...

This paper analyses the widespread difference in COVID-19 vaccination and Non-Pharmaceutical interventions (NPI) acceptance by the European population and finds that this difference can be clustered in nine archetype clusters. Calibrating a SIR model with control acceptance on COVID-19...

We estimate a reduced form of employment at the COVID time through a simple labor market equilibrium that accounts for workers possibly fearing work on-site (FOG) and for firms’ strategies such as work from home (WFH). Employment estimates on the French market demonstrate that work allocation...

Despite promising announcements on an effective vaccine, the control of the COVID-19 pandemic is critically dependent on the maximal compliance of citizens to a set of non-pharmaceutical interventions (NPI for short). We use statistical clustering to partition European citizens with regards to...