Hi all!

I am currenlty analyzing a cross section dataset with propensity score matching and got the following problem:

As soon as I include interactions and quadratic variables like age^2 to estimate my propensity scores, the resulting ATT is really far off the former results. Is it a problem to include interactions etc. in psmatch and teffects?

Thanks in advance.

Best

Philipp