Propensity score matching is a common technique used to estimate the effects of a treatment or program when you don't have a randomized controlled experiment. In particular, it's used when you have observational data that includes pre-program characteristics that determine whether or not each individual received the treatment.

In this video, I work through a simple example of how it works and give you the basic intuition for the method. I also talk briefly about how to assess how well the method works, and discuss the method's advantages and disadvantages relative to multiple regression.

Intended audience: Folks who have had some exposure to linear regression models, but want to learn more statistical methods.

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