Gelman & Zelizer (2014) write:
five other methods used for causal inference in observational studies: simple regression, matching, selection modeling, difference in differences, and instrumental variables
What is "selection modeling"?
Cross Validated is a question and answer site for people interested in statistics, machine learning, data analysis, data mining, and data visualization. It only takes a minute to sign up.Sign up to join this community
It probably refers to something like what is done in Tobit/Heckmann-type Models. This would make sense, because they "model" the "selection". Also, Gelman & Zelizer's next sentence would make sense then
selection modeling is sensitive to untestable distributional assumptions
But admittedly, "selection modelling" is not a common term