Using firm level information on the world leading R&D investors and employing a system GMM estimation, this paper investigates how sensitive R&D investments are to cash flow movements, which would be suggestive of financial constraints. The analysis confirms that over the last decade the R&D...

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...