Hi. I am trying to do a psmatch across treated and untreated observations in my data. The data is an unbalanced panel organized by state and week number. The treatment variable, stepone, is a binary where 1 indicates treated units. My understanding of the code below is that treated observations should be matched to untreated observations based on the controls. However, I have treated observations being matched to other treated observations as seen in group 93 under match1 below. Can someone please tell me what I am doing wrong here?
Code:
teffects psmatch (rate_con_avg7day) (stepone pop_perkm2_2019 povertyperct rate_test_avg7da
> y per60_2011 litrate_2011 hospital_beds_total1k hospital_total1k htnanddm20181k commoncanc
> ers20181k hepcases_20181k malariacase2018 mentalillness_20111k pneumoniatot_case2018 stro
> ke20181k tb2018 exphealth_percap1516 typoidtot_case2018), gen(match)
Treatment-effects estimation Number of obs = 1,439
Estimator : propensity-score matching Matches: requested = 1
Outcome model : matching min = 1
Treatment model: logit max = 5
------------------------------------------------------------------------------
| AI robust
rate_con_a~y | Coefficient std. err. z P>|z| [95% conf. interval]
-------------+----------------------------------------------------------------
ATE |
stepone |
(1 vs 0) | 1.131844 .2492294 4.54 0.000 .6433631 1.620324
------------------------------------------------------------------------------
. predict ps0 ps1, ps
(93 missing values generated)
. predict y0 y1, po
. predict te
(option te assumed; treatment effects)
clear
input str50 state byte(stepone weeknum) long(match1 match2 match3 match4) float(ps0 ps1 y0 y1 te)
"Manipur" 1 48 87 . . . .8218392 .17816077 16.782236 2.675936 -14.1063
"Manipur" 1 34 89 . . . .8008432 .1991568 16.882893 5.679112 -11.20378
"Manipur" 1 29 90 . . . .7911213 .2088787 16.920576 2.9752774 -13.9453
"Maharashtra" 1 13 93 . . . .7682069 .2317931 16.989803 .5941238 -16.39568
"Maharashtra" 1 14 93 . . . .7669686 .2330314 16.989803 .7497494 -16.240053
"Manipur" 1 31 93 . . . .768623 .23137704 16.989803 3.951982 -13.03782
"Delhi" 1 14 95 96 . . .57462245 .42537755 .0004274316 1.601775 1.6013477
"Madhya Pradesh" 1 35 97 . . . .57438624 .4256138 .0006648936 2.1091216 2.1084566
"Nagaland" 1 27 101 . . . .5709734 .4290266 .0006648936 2.0417275 2.0410626
"Madhya Pradesh" 1 36 102 . . . .5693923 .4306077 .0006648936 2.1786027 2.1779377
"Maharashtra" 1 44 102 . . . .56936884 .4306311 .0006648936 15.967074 15.96641
"Delhi" 1 15 102 . . . .5697018 .4302982 .0006648936 2.2916985 2.2910335
"Madhya Pradesh" 1 37 103 . . . .5651109 .4348891 .001424772 2.2604566 2.2590318
"Gujarat" 0 23 104 . . . .5607496 .4392504 1.0784289 .016337385 -1.0620915
"Haryana" 0 29 108 . . . .5389353 .4610647 4.0066066 .13449849 -3.872108
"Gujarat" 0 25 109 . . . .5338113 .4661887 1.310717 .18977962 -1.1209372
"Haryana" 0 30 110 . . . .52597314 .4740269 4.4260902 .3032865 -4.1228037
"Haryana" 0 34 112 . . . .473963 .526037 5.615418 .8869681 -4.7284503
"Haryana" 0 37 113 . . . .4380923 .5619077 7.139569 1.213146 -5.926423
"Assam" 0 43 113 . . . .4362902 .5637098 6.300786 1.213146 -5.08764
"Gujarat" 0 36 115 . . . .3827035 .6172965 2.690959 1.9108093 -.7801499
"Haryana" 0 43 117 . . . .3308998 .6691002 9.124742 2.844225 -6.280517
"Gujarat" 0 40 117 . . . .3288202 .6711798 3.259324 2.844225 -.4150989
"Bihar" 0 19 123 . . . .24621755 .7537825 .1585497 8.356857 8.198308
"Jharkhand" 0 4 125 . . . .1761124 .8238876 .00002291642 9.623671 9.623648
"Jharkhand" 0 5 125 . . . .1761058 .8238942 .00016805374 9.623671 9.623503
"Jharkhand" 0 6 125 . . . .1760596 .8239404 .000672215 9.623671 9.622998
"Jharkhand" 0 7 125 . . . .17597395 .824026 .0012374866 9.623671 9.622433
"Meghalaya" 0 13 129 . . . .14365959 .8563404 .00934952 10.727868 10.718518
"Meghalaya" 0 22 131 . . . .13341624 .8665838 .28730947 10.92971 10.642402
"Meghalaya" 0 24 131 . . . .13244843 .8675516 .4632666 10.92971 10.466445
"Manipur" 1 38 146 . . . .7836701 .21632986 .0021328803 7.686617 7.684484
"Manipur" 1 30 149 . . . .7803726 .21962743 .04913123 3.456471 3.4073396
"Maharashtra" 1 11 152 . . . .7706667 .22933325 .1774748 .30579215 .12831736
"Maharashtra" 1 15 153 . . . .7668766 .2331234 .2460019 .933609 .6876071
"Karnataka" 1 12 156 . . . .752628 .247372 .7719485 .03527029 -.7366782
"Maharashtra" 1 20 156 . . . .7527024 .24729766 .7719485 2.689068 1.9171196
"Odisha" 1 15 159 . . . .7122262 .2877738 1.9079112 .09609842 -1.8118128
"Odisha" 1 16 159 . . . .711139 .28886098 1.9079112 .12654033 -1.781371
"Karnataka" 1 23 159 . . . .7112266 .28877345 1.9079112 2.8918724 .9839612
"Odisha" 1 14 159 . . . .7132092 .28679085 1.9079112 .07165592 -1.8362553
"Odisha" 1 17 159 . . . .7097287 .29027134 1.9079112 .16308632 -1.744825
"Madhya Pradesh" 1 8 163 . . . .6509194 .3490806 3.8144436 .02864196 -3.785802
"Nagaland" 1 12 164 . . . .6370414 .3629585 4.270555 .003920266 -4.266635
"Nagaland" 1 9 164 . . . .6382291 .3617709 4.270555 0 -4.270555
"Maharashtra" 1 35 164 . . . .6380595 .3619405 4.270555 13.863894 9.59334
"Nagaland" 1 11 164 . . . .6379741 .3620259 4.270555 0 -4.270555
"Nagaland" 1 10 164 . . . .638128 .361872 4.270555 0 -4.270555
"Madhya Pradesh" 1 24 165 . . . .6248753 .3751247 4.704388 .5769947 -4.1273932
"Manipur" 1 46 165 . . . .6256977 .3743023 4.704388 9.312738 4.6083503
"Nagaland" 1 25 167 . . . .58083797 .4191621 5.508355 1.7378073 -3.7705474
"Odisha" 1 31 168 . . . .55671924 .4432808 5.732965 5.45446 -.27850533
"Nagaland" 1 35 169 . . . .53766346 .4623365 5.891852 4.263588 -1.628264
"Madhya Pradesh" 1 42 169 . . . .5374671 .46253285 5.891852 2.837342 -3.05451
"Odisha" 1 33 170 . . . .52670217 .4732978 5.974564 6.233188 .25862408
"Delhi" 1 18 170 . . . .5278413 .4721586 5.974564 5.20089 -.7736745
"Madhya Pradesh" 1 44 170 . . . .5271915 .4728085 5.974564 2.9838905 -2.9906735
"Nagaland" 1 37 170 . . . .5279292 .4720708 5.974564 4.7363453 -1.2382188
"Nagaland" 1 38 170 . . . .526738 .473262 5.974564 5.074817 -.8997469
"Nagaland" 1 45 171 . . . .5155157 .4844843 6.046194 5.582325 -.4638686
"Karnataka" 1 35 172 . . . .50811374 .4918863 6.104815 12.65584 6.551026
"Delhi" 1 21 173 . . . .4944756 .5055244 6.143286 6.683167 .5398812
"Chhattisgarh" 1 10 174 . . . .4854847 .5145153 6.177741 .002093819 -6.175647
"Chhattisgarh" 1 11 174 . . . .4850978 .51490223 6.177741 .003784789 -6.173956
"Chhattisgarh" 1 17 175 . . . .474799 .52520096 6.210705 .0993445 -6.111361
"Chhattisgarh" 1 15 175 . . . .4787726 .52122736 6.210705 .06240675 -6.148299
"Chhattisgarh" 1 16 175 . . . .4769481 .5230519 6.210705 .0820419 -6.128664
"Chhattisgarh" 1 21 176 . . . .4642569 .5357431 6.241453 .28701234 -5.95444
"Odisha" 1 37 176 . . . .4645509 .5354491 6.241453 7.102713 .8612599
"Delhi" 1 24 177 . . . .4540598 .54594016 6.267122 7.820683 1.5535603
"Arunachal Pradesh" 1 22 179 . . . .436484 .563516 6.300786 1.213146 -5.08764
"Odisha" 1 39 179 . . . .4341719 .5658281 6.300786 7.307622 1.0068359
"Odisha" 1 40 181 . . . .4206076 .5793924 6.318499 7.371501 1.0530024
"Chhattisgarh" 1 29 182 . . . .4134197 .5865803 6.324519 3.168351 -3.156168
"Arunachal Pradesh" 1 23 183 . . . .4088749 .5911251 6.328714 1.555756 -4.772958
"Odisha" 1 41 183 . . . .4093332 .59066683 6.328714 7.429079 1.1003647
"Karnataka" 1 39 183 . . . .4072813 .59271866 6.328714 13.471472 7.142758
"Puducherry" 1 24 185 186 . . .2524582 .7475418 .00010398738 5.618256 5.618152
"Punjab" 1 25 185 186 . . .25251842 .7474816 .00010398738 1.500323 1.500219
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