[David Radwin]

After matching, common support looks acceptable. The figure shows that the control group has a higher max p score before matching, but not after matching.

[amira elshal]

Thank you, appreciated; and a special thank you for the syntax to reproduce Richard Hofler's graph after kernel matching. It helped me a lot.

[Gabriel Broshy]

I ran the before and after command histogram commands successfully.
Afterward, I modified the ps graph to add the squares of several covariates.
I still only have 1 _n1 variable, so the histogram is the same before.
How can you produce new histograms when you use different covariates?

[Bright Tree]

Hi. I wondered if the dummy for matched treatment/control groups was now updated as below,

replace _treat =0 if  _treat ==0 & dup >0

It was also shown in some posts that,

*After PSM

twoway (kdensity _pscore if _treated==1) (kdensity _pscore if _weight !=1 & _weight !=. , lpattern(dash)), legend( label( 1 "treated") label( 2 "control" ) ) xtitle("propensity score")

Was the latter also correct? I was confused about the condition, "if _weight !=1 & _weight !=."

Thank you.