Policy evaluation using model over-fitting: the Nordic case.

The interest of this article is to better understand the effects of different public policy alternatives to handle the COVID-19 pandemic. In this work we use the susceptible, infected, recovered (SIR) model to find which of these policies have an actual impact on the dynamic of the spread. Starting with raw data on the number of deceased people in a country, we over-fit our SIR model to find the times at which the main parameters, the number of daily contacts and the probability of contagion, require adjustments.