We evaluate a temporary public sector employment program targeted at individuals with weak labor market attachment, applying dynamic inverse probability weighting to account for dynamic selection. We show that the program is successful in increasing employment and reducing social assistance....

The forced remote working relationships experienced during the COVID-19 pandemics made employers and employees more aware of the productivity gains arising from the digital revolution. To investigate the characteristics of such gains, we model firms' production allowing companies to choose among...