Propensity matching within strata?

[Avanti Badrinathan]

Hello everyone!

I am trying to propensity match a sample based on race as well as stratify this by age group. However, of my 8 groups, only the result for group 8 seems to be recorded by my loop. Can anyone help me troubleshoot?
I am currently using (based on http://repec.org/bocode/p/psmatch2.html):

g att = . egen g = group(strataage)
levels g, local(gr)
qui foreach j of local gr {
psmatch2 wnh blunt male teaching tclevel sbp if g==`j', out(emergentprocedure)
replace att = r(att) if g==`j' }
sum att

Sample data below:

* Example generated by -dataex-. To install: ssc install dataex
clear
input float(wnh strataage emergentprocedure blunt male teaching tclevel) int sbp
0 4 0 0 0 1 1 146
0 2 0 0 1 1 1 153
1 6 0 1 0 1 1 187
1 1 0 1 1 1 1 163
0 4 1 0 1 1 1  78
1 2 0 0 1 1 1 130
0 2 0 1 0 1 1 124
0 3 0 1 0 1 1 132
0 5 0 1 1 1 1 194
1 5 0 1 1 1 1 164
0 6 0 1 1 1 1 163
0 3 1 0 1 1 1 109
1 3 0 1 1 1 1 140
0 2 0 0 1 1 1 163
0 2 0 1 0 1 1 154
0 3 0 1 1 1 1 115
1 8 0 1 0 1 1 143
0 3 0 1 0 1 1 164
1 2 1 0 1 1 1 120
0 4 1 0 1 1 1   0
1 3 0 1 1 1 1 161
0 3 0 1 1 1 1 148
1 3 0 1 1 1 1 110
1 7 0 1 1 1 1 117
0 1 0 0 0 1 1  98
1 6 0 0 0 1 1 197
0 4 0 1 0 1 1 150
0 3 0 1 1 1 1 157
0 4 0 1 1 1 1 136
0 2 0 1 1 1 1 123
1 2 0 1 0 1 1 105
0 4 0 0 1 1 1 135
0 2 0 1 1 1 1 123
0 8 0 1 0 1 1 136
1 5 0 1 1 1 1 146
0 6 0 1 1 1 1 129
0 5 0 1 1 1 1 184
0 4 0 1 1 1 1 167
0 6 0 1 0 1 1 151
1 5 0 0 1 1 1 116
1 5 0 1 1 1 1 118
1 2 0 1 0 1 1 118
1 6 0 1 1 1 1 113
0 1 0 0 1 1 1 113
1 5 0 1 0 1 1 109
1 6 0 1 1 1 1 123
0 2 0 1 0 1 1 155
0 5 0 1 1 1 1 159
0 2 0 0 1 1 1 148
0 2 1 0 1 1 1 108
0 3 0 0 1 1 1 130
1 3 0 1 1 1 1 130
0 6 0 1 0 1 1 171
1 2 0 1 0 1 1 147
1 2 0 1 0 1 1 129
0 2 0 1 0 1 1 125
0 5 0 1 1 1 1 152
0 2 0 1 0 1 1 113
0 5 0 1 1 1 1 175
0 4 0 1 1 1 1 143
0 2 0 0 1 1 1 140
1 6 0 1 1 1 1 153
1 8 0 1 0 1 1 204
0 3 0 1 1 1 1 118
0 6 0 1 1 1 1 147
1 2 0 1 0 1 1 133
1 5 0 0 0 1 1 170
0 4 1 0 0 1 1  82
1 2 0 1 1 1 1 135
0 6 0 1 1 1 1 159
0 6 0 1 1 1 1 137
0 4 0 1 1 1 1 136
1 5 0 1 1 1 1 108
0 3 0 0 1 1 1 120
0 2 0 1 0 1 1 123
1 7 0 1 1 1 1 163
0 3 0 1 1 1 1 135
0 7 1 1 1 1 1 114
1 2 0 1 1 1 1 165
1 3 0 1 1 1 1 119
1 5 0 1 1 1 1 142
0 3 0 0 1 1 1  99
1 2 0 1 0 1 1 155
0 3 0 0 1 1 1 117
0 2 0 1 1 1 1 138
0 5 0 1 1 1 1 147
0 2 0 0 1 1 1 130
1 7 0 1 0 1 1 145
0 3 0 1 1 1 1 187
1 2 0 1 0 1 1 136
1 2 0 1 1 1 1 136
0 2 0 0 1 1 1  90
0 2 0 1 0 1 1 110
0 3 0 1 0 1 1 100
0 2 0 0 0 1 1 110
1 2 0 1 0 1 1 120
1 5 0 1 1 1 1 129
0 5 0 1 1 1 1 128
0 3 0 0 1 1 1 148
1 2 0 1 0 1 1 110
end