Dear all,

I am trying to create a control group using Propensity score matching.
The idea is to select a control group based on covariates before treatment and compare several features after the treatment.

There are commands: pscore, psmatch, teffect:

My first question is that: for psmatch and teffect, what should be the outcome variables?

In my case, I would like to compare three (or more) dependent vars: let's say Y1, Y2, Y3.
Then which vars should I define as an outcome vars? If I change the dep vars, then, it would change the composition of control groups?

If I want to select control groups that are only similar pre-treatment stages: X-covariates, pscore and psmatch allow not to put outcome vars. In this case control group is correctly selected?

I guess there are many cases that researchers compare results using MANY DEP VARS between pre-treatment and post-treatment. What would be the solution?

Second question is that: if I get an error message that "Convergence not achieved". Could you please advise what to do in this case?

Thirdly, if I want to use panel data to create control group, how to use the command? I saw some previous post that advises to use "average" values before treatment,

Thanks a lot!