If you've studied causal inference before, you most likely have already got a solid idea of the basics, just like the potential outcomes framework, propensity rating matching, and basic difference-in-differences. Nonetheless, foundational methods often...
You’re an avid data scientist and experimenter. You already know that randomisation is the summit of Mount Evidence Credibility, and you furthermore mght know that when you may’t randomise, you resort to observational data...