Hi! I have a question about predicting the propensity scores. Based on what I learnt, if the independent variable is a dichotomous variable, I should use a logit model to predict the pscore. I'm wondering if the dataset is nested, should I use the hierarchical logistic model to predict my pscore?
For example, the data is nested by schools. Which model should I use?
. logit w2seextrc $idlist ,or
. xtmelogit w2seextrc $idlist || schids: ,or var
Besides, can I output the PSM results by stata? Or I have to make the APA style tables by hand?
Your advice is highly appreciated!!
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