What methodologies can allow you to make judgments on the policies that work and those that do not?
As an experimental methodology, a randomized controlled trial is the best scientific approach to estimate causation between policy interventions and their effects. This type of evaluation provides an objective picture of results, serving as a detailed and well-grounded basis for decision-making.
Trials are implemented through randomizing the treatment across similar targets. Treatment and control groups are selected with the purpose of estimating the net effect of interventions and reducing systematic errors when it comes to selection, confounding variables, and other biases.
Policy makers permanently struggle to design policies that have a positive impact on the wellbeing of the population. R-Insights provide randomized trials that allow you to measure causation and, in particular, to: