I'm curious what you do after matching is complete.
Usually one is interested in the causal effect of the treatment on the outcome variable. So it's logical to run a regression to come up with coefficients (that are log odds). But what should we run this regression on? On the new dataset that Pymatch returns? The one that has one more extra column match_id?
I guess it's quickly addressed in the Match Data section of the manual? Can someone elaborate on what to do with the weight vector in the subsequent regression?
I'm curious what you do after matching is complete. Usually one is interested in the causal effect of the treatment on the outcome variable. So it's logical to run a regression to come up with coefficients (that are log odds). But what should we run this regression on? On the new dataset that Pymatch returns? The one that has one more extra column match_id? I guess it's quickly addressed in the Match Data section of the manual? Can someone elaborate on what to do with the weight vector in the subsequent regression?