Treatment effect commands in Stata

For researchers who are working with observational data and are interested in causal effects, Stata has a set of treatment effect commands that can help. Among these commands, there is a particular interest in matching. How do these commands work? This blog shows you some examples of some of these commands, and how to replicate them step by step: https://...

Imagine conducting a randomized controlled trial with noncompliance (participants assigned to the treatment group can choose to avoid treatment, and participants assigned to the control group are able to seek out treatment). If the experimenter observes the ultimate treatment status for all participants, then she can use random assignment as an instrumental variable to measure the causal effect of treatment. Miguel...