Hi Statalisters,
I am trying to estimate propensity scores on my treatment for the pre-treatment baseline year (1980) characteristics and identify the five closest neighbors. Can anyone suggest what is the correct way of going about this?
Code:
use "$path0\Sample1_Ready.dta", clear
*
keep if year==1980
qui psmatch2 Treated_Ever, mahalanobis(Share_Police_1980 Share_IndexCrime_1980 Share_Black_1980 Share_Male_1980 Share_YoungNoHS_1980 Share_Unemp_1980 Share_BPL_1980 Log_Pop_Density_1980 Log_CoastDist_1980 Log_AvgWages_1980) neighbor(5)
*
forvalues i=1/5{
gen pair`i' = _id if _treated==0
replace pair`i' = _n1 if _treated==1
bysort pair`i': egen paircount`i' = count(pair`i')
}
egen byte paircount = anycount(paircount1 paircount2 ///
paircount3 paircount4 paircount5), values(5)
clear
input long fips float(Treated_Ever Share_Police_1980 Share_IndexCrime_1980 Share_Black_1980 Share_Male_1980 Share_YoungNoHS_1980 Share_Unemp_1980 Share_BPL_1980 Log_Pop_Density_1980 Log_CoastDist_1980 Log_AvgWages_1980)
1001 0 .01787876 .04491417 22.32672 49.12003 40.51546 6.719514 16.622543 4.010913 5.369914 9.543306
1005 0 .0014551922 .0004446421 44.35507 47.14014 55.00106 8.1615305 30.81156 3.365828 5.159771 9.236008
1009 0 .010510182 .01023648 1.634005 49.47449 53.71334 7.662784 18.008497 4.054638 5.940861 9.3267
1015 0 .015296813 .04617371 17.623829 48.98563 43.09935 9.147396 16.333387 5.293825 5.908895 9.442166
1017 0 .010706638 .018685633 35.405834 47.11941 54.44502 7.684723 17.83169 4.201109 5.628927 9.357639
1019 0 .005082861 .0018531265 8.201408 49.28787 56.25497 7.402305 18.609385 3.558501 6.000347 9.15377
1021 0 .010571998 .029595066 11.80866 48.50393 53.86842 9.336388 19.847303 3.811832 5.549895 9.134754
1023 0 .0035714286 .005416667 43.39286 48.14881 55.32631 8.007577 31.471447 2.964799 4.922285 9.482121
1131 1 .004877388 .016799891 68.75762 46.97873 58.39715 9.695818 45.27632 2.8687236 5.026084 9.413036
1027 0 .008734896 .0011646528 16.494394 48.32581 53.15783 6.142069 21.01645 3.167437 5.747068 9.148784
1029 0 .0113852 .01525933 5.115433 49.09076 61.38375 6.101938 16.67729 3.16047 5.893356 9.171703
1033 0 .02110431 .0424651 16.718573 48.14238 44.00569 9.504725 14.527832 4.5337777 6.076719 9.743084
1037 0 .004214963 .017650157 34.624165 48.95504 56.69717 5.145652 24.67855 2.917499 5.585166 9.206432
1043 0 .01417705 .024486164 .8561255 48.73928 53.15952 8.058678 17.476936 4.4436665 5.950608 9.302737
1047 0 .018257385 .06421627 54.64784 46.4784 46.55693 9.398585 32.29235 4.0265827 5.240759 9.2444515
1049 0 .006241525 .010606877 1.749856 48.44055 57.06452 6.872383 19.4557 4.2524176 6.101939 9.207737
1051 0 .01269783 .035471108 22.2143 49.37891 42.08915 5.450089 18.178104 4.2667184 5.45682 9.241063
1055 0 .014544045 .04146022 13.38246 47.74713 44.9979 8.1935625 16.147018 5.26672 5.962089 9.555843
1057 0 .010821707 .012253992 12.699593 48.20434 56.20567 6.464595 18.12781 3.435076 5.786611 9.382022
1059 0 .009313484 .011394906 4.586185 48.44423 54.85691 9.470682 17.112108 3.82259 5.998272 9.249658
1063 0 .014159935 .016519925 78.01579 46.08332 59.94157 14.50867 45.67347 2.8917556 5.418484 9.2444515
1065 0 .003080082 .00012833676 62.62192 47.15734 61.92911 11.067342 39.52232 3.226884 5.432539 9.095041
1013 1 .012125666 .01919897 38.68731 46.57817 54.64511 7.068633 27.157726 3.368217 4.919919 9.183791
1067 0 .015666818 .02219466 37.73745 47.32685 55.86771 6.064601 22.721016 3.341806 4.925694 9.1622
12105 1 .01710599 .06979083 15.044262 49.14856 39.85598 4.835127 14.583572 5.199989 4.296582 9.441055
1069 0 .01760399 .06172066 22.234373 47.94553 41.44466 4.7165246 16.897346 4.870002 4.6489916 9.394327
12095 1 .02443987 .1013989 14.8381 48.65985 29.30716 4.463768 13.237164 6.266347 3.96997 9.457278
12099 1 .029988375 .09180868 13.476846 47.68268 28.81588 3.857212 10.083025 5.69847 3.627739 9.486153
1071 0 .012128515 .020369686 4.1672335 48.89502 52.0713 8.762396 15.747478 3.886338 6.163 9.60972
1073 0 .02446113 .07929736 33.295555 46.90202 35.278763 6.661852 15.319288 6.404338 5.793981 9.579833
1077 0 .011142613 .033712596 9.706454 47.99619 42.23344 8.368627 14.755013 4.803767 6.129788 9.257987
1079 0 .015893513 .016323963 16.734545 48.93878 56.84751 10.73095 23.55412 3.800566 6.03859 9.507106
1081 0 .01910803 .04901001 24.361435 50.11159 37.672863 6.162525 23.57991 4.845055 5.507627 9.393579
1083 0 .012261936 .025893556 14.153404 48.59988 49.19145 8.76496 16.959616 4.4205804 6.124922 9.590351
1089 0 .0188853 .071250014 19.86246 48.95706 29.67108 7.901213 13.832158 5.511522 6.14255 9.588777
1091 0 .01298181 .021235676 53.14528 47.51182 51.88556 6.382742 33.38431 3.27898 5.083693 9.306287
1093 0 .008762031 .006438765 2.3464985 48.71556 57.46418 7.991677 16.062733 3.727874 5.913101 9.269081
1095 0 .017676806 .03433613 1.545961 48.4305 49.62741 7.617041 16.551989 4.765364 6.031329 9.282754
1103 0 .013824272 .03761797 9.752316 48.58988 39.9813 8.054375 13.857707 5.055134 6.058167 9.496947
1107 0 .012819322 .010589874 41.72318 47.54761 55.89347 10.035932 27.07656 3.235803 5.638903 9.251194
1111 0 .011936735 .007858351 24.17189 47.69223 58.58849 9.684184 23.22587 3.573263 5.765615 9.153453
1113 0 .015240998 .04726826 39.29426 47.64505 57.22721 9.200782 24.717165 4.31325 5.404115 9.258082
1115 0 .008709537 .01333043 9.974839 49.20163 49.75628 7.040517 15.606412 4.1958814 5.857779 9.280239
1117 0 .013266206 .02191613 10.3575 49.13575 35.962524 5.699219 12.393407 4.457571 5.704374 9.507923
1085 1 .003635262 .020372614 74.94699 47.0312 57.49366 11.999063 44.99432 2.967521 5.133008 9.084097
1087 1 .0188524 .04267973 84.25226 47.63971 45.83992 10.867375 32.97974 3.804574 5.382849 9.354008
1119 0 .007092618 .008924877 69.20622 47.36687 53.3839 10.857338 33.646915 2.981531 5.315948 9.178333
1121 0 .00714247 .007940588 30.72074 47.97089 50.65082 9.039913 20.798143 4.6184206 5.76719 9.392995
1123 0 .016714817 .030669624 26.90879 47.88743 51.45248 5.457089 17.350397 4.009258 5.596378 9.233862
1125 0 .02107188 .05621345 27.124966 48.51757 39.81414 7.756338 20.851286 4.656486 5.65239 9.4651375
1127 0 .014159395 .02083121 7.025798 48.46243 54.25857 8.500117 16.389105 4.474654 5.834507 9.5207615
1133 0 .012010372 .012055866 .3139075 48.85128 56.91182 7.94883 18.215715 3.6071064 5.955354 9.272094
9005 0 .012585012 .0192271 .8008644 48.49806 29.247696 4.54923 5.236974 5.146953 4.139407 9.4773855
10003 0 .016078325 .074284464 15.204655 48.02772 27.54618 5.951243 10.996333 6.841535 .6031139 9.712933
12001 0 .0230175 .08561932 19.04396 50.05518 24.26362 5.383732 23.54905 5.164646 4.3105316 9.313619
12003 0 .012476444 .011501722 15.22516 50.97147 48.90309 5.461229 16.631317 3.306727 4.4295 9.243195
37051 1 .017685823 .068239816 30.947363 52.65974 30.243 9.19342 17.200111 5.941891 4.862609 9.335032
12007 0 .011343284 .032935325 20.43781 53.57711 46.12275 7.632957 19.79814 4.2395506 4.424346 9.250042
12017 0 .007318648 .030332927 3.189352 47.99634 43.82196 7.938495 13.60902 4.5730224 2.776594 9.301642
10005 1 .011985935 .05443612 18.335627 48.13229 42.71814 6.148165 13.573212 4.66169 2.719005 9.345571
12013 1 .007742768 .007312614 12.302398 47.90838 52.76719 8.547267 23.678186 2.855942 3.688762 9.194313
12091 1 .013224335 .031443927 8.691568 50.7791 22.31387 8.440668 10.94852 4.787539 3.12422 9.318566
12117 1 .022613024 .06938287 9.955554 48.3488 23.45876 4.4769883 9.191075 6.379511 3.447097 9.345308
12019 0 .01415011 .032766346 5.167737 49.1731 25.974604 6.066977 9.990029 4.729665 4.0607634 9.266721
12023 0 .020203155 .05064819 19.21825 48.94214 40.74682 5.484812 19.67006 3.821731 4.5854025 9.28452
12051 1 .03820237 .04982225 19.345253 50.38468 48.94954 5.1117 21.505966 2.853569 4.1619053 9.398809
12097 1 .032213494 .09105444 6.085429 47.88599 37.465202 4.92234 11.81852 3.667781 3.8449705 9.230143
45051 1 .019798694 .06506819 21.93965 48.72841 40.87756 5.618864 17.956003 4.5145354 3.13967 9.122165
12113 1 .012715906 .04233337 4.4611635 50.17484 30.0262 7.845726 16.227715 4.042563 2.451998 9.369564
12029 0 .009243805 .021697266 11.51624 51.58557 50.16978 7.608696 25.16313 2.4888525 3.0230474 9.173158
48201 1 .02333253 .0888132 19.7293 49.871 29.08823 3.3929224 10.38354 7.266665 3.889525 9.777017
1097 1 .018488873 .07762158 31.39448 48.0055 38.17163 7.090584 18.840631 5.699586 2.65059 9.505544
12086 1 .024642127 .1101507 17.430738 47.25192 35.64097 4.950161 15.032413 6.764805 2.814402 9.543378
12033 1 .015408752 .08349384 19.653814 48.73061 32.41972 7.511163 17.395672 5.884079 2.523529 9.447939
12057 1 .024940295 .09968602 13.37404 48.32236 33.857018 5.16924 14.046057 6.461534 2.3823113 9.457981
12031 0 .02079512 .077514 24.584 48.19404 33.07613 5.753144 15.838985 6.623807 3.0572114 9.496647
12011 1 .0256431 .09023709 11.28497 47.50346 29.316607 4.3791714 9.100153 6.744389 3.718771 9.475623
12039 0 .008057941 .014365197 59.92374 47.19411 52.61864 7.111569 32.635822 4.403769 4.136399 9.221379
12027 1 .03882077 .03855988 18.638144 50.0287 48.96344 3.9579735 21.077866 3.4366775 3.545542 9.135833
48261 1 .06679035 .00742115 0 50.09276 66.5529 1.3636364 34.935303 .31451935 1.6517804 9.270212
12133 1 .018945634 .018053267 15.671335 48.37315 48.67087 5.947441 24.967003 3.2579646 3.47662 9.102421
12041 0 .02443992 .015105227 6.364563 50.13578 42.43488 4.191344 19.259523 2.881986 3.9107556 9.150378
12063 0 .01160335 .017379576 26.08209 49.47709 48.51962 4.988573 22.983685 3.780103 4.205929 9.144734
12065 0 .015668718 .011285208 47.49114 48.19996 48.0459 7.515514 28.348616 2.940577 3.5321546 9.107975
12067 0 .011881188 .008910891 7.376238 49.80198 45.8585 4.0210943 21.363073 2.1323345 3.782812 9.032051
12073 0 .02051282 .0847556 24.606035 48.15505 20.99827 4.444531 17.84765 5.418667 3.736507 9.364605
12075 0 .01973586 .04171443 15.953152 48.48742 45.6104 6.446303 20.769426 2.94148 2.711335 9.251962
48273 1 .0211192 .06643002 3.8957164 50.82627 40.78736 5.333845 21.96994 3.664557 .9368822 9.323848
12079 0 .014455896 .02188462 42.47758 47.01513 56.15412 7.425913 30.20812 3.112178 4.0226355 9.173987
1035 1 .007580064 .0005053376 41.09658 47.60281 57.55898 7.286822 29.413256 2.976611 4.488977 9.207937
34001 1 .0423684 .11113738 17.752686 46.99479 38.50223 8.456069 12.647988 5.861217 2.605016 9.509334
12021 1 .02467218 .0754786 6.21145 49.62306 28.25887 3.81551 13.62447 3.802449 3.231919 9.248021
12127 1 .02711849 .0765757 11.08906 47.44703 33.067005 6.173551 14.055244 5.474462 3.135992 9.261699
12083 0 .01864149 .07106464 16.383745 48.09279 39.90035 6.562587 17.88733 4.37458 4.280749 9.267193
22109 1 .02615563 .02020638 15.461725 49.96104 46.97525 3.149323 14.40141 4.3579555 2.7782445 9.715772
22089 1 .018892596 .04330887 25.430286 50.06538 40.7609 6.117895 13.250798 4.907351 2.9714336 9.895657
22011 1 .02171509 .01953688 15.954558 50.62163 41.6595 9.048068 17.219868 3.2878094 4.4167676 9.552155
22075 1 .03539823 .03348274 21.32322 51.12056 49.46075 5.271829 15.380348 3.5400674 1.528741 9.780868
48039 1 .021840144 .035896957 7.810835 52.89563 34.457237 3.390775 8.202688 4.843072 3.001977 9.792276
12089 0 .022859216 .03885462 13.645985 49.81253 41.45139 5.297636 12.353267 3.9509876 3.4803135 9.627734
end
[/CODE]
I am trying to estimate propensity scores on my treatment for the pre-treatment baseline year (1980) characteristics and identify the five closest neighbors. Can anyone suggest what is the correct way of going about this?
Code:
use "$path0\Sample1_Ready.dta", clear
*
keep if year==1980
qui psmatch2 Treated_Ever, mahalanobis(Share_Police_1980 Share_IndexCrime_1980 Share_Black_1980 Share_Male_1980 Share_YoungNoHS_1980 Share_Unemp_1980 Share_BPL_1980 Log_Pop_Density_1980 Log_CoastDist_1980 Log_AvgWages_1980) neighbor(5)
*
forvalues i=1/5{
gen pair`i' = _id if _treated==0
replace pair`i' = _n1 if _treated==1
bysort pair`i': egen paircount`i' = count(pair`i')
}
egen byte paircount = anycount(paircount1 paircount2 ///
paircount3 paircount4 paircount5), values(5)
clear
input long fips float(Treated_Ever Share_Police_1980 Share_IndexCrime_1980 Share_Black_1980 Share_Male_1980 Share_YoungNoHS_1980 Share_Unemp_1980 Share_BPL_1980 Log_Pop_Density_1980 Log_CoastDist_1980 Log_AvgWages_1980)
1001 0 .01787876 .04491417 22.32672 49.12003 40.51546 6.719514 16.622543 4.010913 5.369914 9.543306
1005 0 .0014551922 .0004446421 44.35507 47.14014 55.00106 8.1615305 30.81156 3.365828 5.159771 9.236008
1009 0 .010510182 .01023648 1.634005 49.47449 53.71334 7.662784 18.008497 4.054638 5.940861 9.3267
1015 0 .015296813 .04617371 17.623829 48.98563 43.09935 9.147396 16.333387 5.293825 5.908895 9.442166
1017 0 .010706638 .018685633 35.405834 47.11941 54.44502 7.684723 17.83169 4.201109 5.628927 9.357639
1019 0 .005082861 .0018531265 8.201408 49.28787 56.25497 7.402305 18.609385 3.558501 6.000347 9.15377
1021 0 .010571998 .029595066 11.80866 48.50393 53.86842 9.336388 19.847303 3.811832 5.549895 9.134754
1023 0 .0035714286 .005416667 43.39286 48.14881 55.32631 8.007577 31.471447 2.964799 4.922285 9.482121
1131 1 .004877388 .016799891 68.75762 46.97873 58.39715 9.695818 45.27632 2.8687236 5.026084 9.413036
1027 0 .008734896 .0011646528 16.494394 48.32581 53.15783 6.142069 21.01645 3.167437 5.747068 9.148784
1029 0 .0113852 .01525933 5.115433 49.09076 61.38375 6.101938 16.67729 3.16047 5.893356 9.171703
1033 0 .02110431 .0424651 16.718573 48.14238 44.00569 9.504725 14.527832 4.5337777 6.076719 9.743084
1037 0 .004214963 .017650157 34.624165 48.95504 56.69717 5.145652 24.67855 2.917499 5.585166 9.206432
1043 0 .01417705 .024486164 .8561255 48.73928 53.15952 8.058678 17.476936 4.4436665 5.950608 9.302737
1047 0 .018257385 .06421627 54.64784 46.4784 46.55693 9.398585 32.29235 4.0265827 5.240759 9.2444515
1049 0 .006241525 .010606877 1.749856 48.44055 57.06452 6.872383 19.4557 4.2524176 6.101939 9.207737
1051 0 .01269783 .035471108 22.2143 49.37891 42.08915 5.450089 18.178104 4.2667184 5.45682 9.241063
1055 0 .014544045 .04146022 13.38246 47.74713 44.9979 8.1935625 16.147018 5.26672 5.962089 9.555843
1057 0 .010821707 .012253992 12.699593 48.20434 56.20567 6.464595 18.12781 3.435076 5.786611 9.382022
1059 0 .009313484 .011394906 4.586185 48.44423 54.85691 9.470682 17.112108 3.82259 5.998272 9.249658
1063 0 .014159935 .016519925 78.01579 46.08332 59.94157 14.50867 45.67347 2.8917556 5.418484 9.2444515
1065 0 .003080082 .00012833676 62.62192 47.15734 61.92911 11.067342 39.52232 3.226884 5.432539 9.095041
1013 1 .012125666 .01919897 38.68731 46.57817 54.64511 7.068633 27.157726 3.368217 4.919919 9.183791
1067 0 .015666818 .02219466 37.73745 47.32685 55.86771 6.064601 22.721016 3.341806 4.925694 9.1622
12105 1 .01710599 .06979083 15.044262 49.14856 39.85598 4.835127 14.583572 5.199989 4.296582 9.441055
1069 0 .01760399 .06172066 22.234373 47.94553 41.44466 4.7165246 16.897346 4.870002 4.6489916 9.394327
12095 1 .02443987 .1013989 14.8381 48.65985 29.30716 4.463768 13.237164 6.266347 3.96997 9.457278
12099 1 .029988375 .09180868 13.476846 47.68268 28.81588 3.857212 10.083025 5.69847 3.627739 9.486153
1071 0 .012128515 .020369686 4.1672335 48.89502 52.0713 8.762396 15.747478 3.886338 6.163 9.60972
1073 0 .02446113 .07929736 33.295555 46.90202 35.278763 6.661852 15.319288 6.404338 5.793981 9.579833
1077 0 .011142613 .033712596 9.706454 47.99619 42.23344 8.368627 14.755013 4.803767 6.129788 9.257987
1079 0 .015893513 .016323963 16.734545 48.93878 56.84751 10.73095 23.55412 3.800566 6.03859 9.507106
1081 0 .01910803 .04901001 24.361435 50.11159 37.672863 6.162525 23.57991 4.845055 5.507627 9.393579
1083 0 .012261936 .025893556 14.153404 48.59988 49.19145 8.76496 16.959616 4.4205804 6.124922 9.590351
1089 0 .0188853 .071250014 19.86246 48.95706 29.67108 7.901213 13.832158 5.511522 6.14255 9.588777
1091 0 .01298181 .021235676 53.14528 47.51182 51.88556 6.382742 33.38431 3.27898 5.083693 9.306287
1093 0 .008762031 .006438765 2.3464985 48.71556 57.46418 7.991677 16.062733 3.727874 5.913101 9.269081
1095 0 .017676806 .03433613 1.545961 48.4305 49.62741 7.617041 16.551989 4.765364 6.031329 9.282754
1103 0 .013824272 .03761797 9.752316 48.58988 39.9813 8.054375 13.857707 5.055134 6.058167 9.496947
1107 0 .012819322 .010589874 41.72318 47.54761 55.89347 10.035932 27.07656 3.235803 5.638903 9.251194
1111 0 .011936735 .007858351 24.17189 47.69223 58.58849 9.684184 23.22587 3.573263 5.765615 9.153453
1113 0 .015240998 .04726826 39.29426 47.64505 57.22721 9.200782 24.717165 4.31325 5.404115 9.258082
1115 0 .008709537 .01333043 9.974839 49.20163 49.75628 7.040517 15.606412 4.1958814 5.857779 9.280239
1117 0 .013266206 .02191613 10.3575 49.13575 35.962524 5.699219 12.393407 4.457571 5.704374 9.507923
1085 1 .003635262 .020372614 74.94699 47.0312 57.49366 11.999063 44.99432 2.967521 5.133008 9.084097
1087 1 .0188524 .04267973 84.25226 47.63971 45.83992 10.867375 32.97974 3.804574 5.382849 9.354008
1119 0 .007092618 .008924877 69.20622 47.36687 53.3839 10.857338 33.646915 2.981531 5.315948 9.178333
1121 0 .00714247 .007940588 30.72074 47.97089 50.65082 9.039913 20.798143 4.6184206 5.76719 9.392995
1123 0 .016714817 .030669624 26.90879 47.88743 51.45248 5.457089 17.350397 4.009258 5.596378 9.233862
1125 0 .02107188 .05621345 27.124966 48.51757 39.81414 7.756338 20.851286 4.656486 5.65239 9.4651375
1127 0 .014159395 .02083121 7.025798 48.46243 54.25857 8.500117 16.389105 4.474654 5.834507 9.5207615
1133 0 .012010372 .012055866 .3139075 48.85128 56.91182 7.94883 18.215715 3.6071064 5.955354 9.272094
9005 0 .012585012 .0192271 .8008644 48.49806 29.247696 4.54923 5.236974 5.146953 4.139407 9.4773855
10003 0 .016078325 .074284464 15.204655 48.02772 27.54618 5.951243 10.996333 6.841535 .6031139 9.712933
12001 0 .0230175 .08561932 19.04396 50.05518 24.26362 5.383732 23.54905 5.164646 4.3105316 9.313619
12003 0 .012476444 .011501722 15.22516 50.97147 48.90309 5.461229 16.631317 3.306727 4.4295 9.243195
37051 1 .017685823 .068239816 30.947363 52.65974 30.243 9.19342 17.200111 5.941891 4.862609 9.335032
12007 0 .011343284 .032935325 20.43781 53.57711 46.12275 7.632957 19.79814 4.2395506 4.424346 9.250042
12017 0 .007318648 .030332927 3.189352 47.99634 43.82196 7.938495 13.60902 4.5730224 2.776594 9.301642
10005 1 .011985935 .05443612 18.335627 48.13229 42.71814 6.148165 13.573212 4.66169 2.719005 9.345571
12013 1 .007742768 .007312614 12.302398 47.90838 52.76719 8.547267 23.678186 2.855942 3.688762 9.194313
12091 1 .013224335 .031443927 8.691568 50.7791 22.31387 8.440668 10.94852 4.787539 3.12422 9.318566
12117 1 .022613024 .06938287 9.955554 48.3488 23.45876 4.4769883 9.191075 6.379511 3.447097 9.345308
12019 0 .01415011 .032766346 5.167737 49.1731 25.974604 6.066977 9.990029 4.729665 4.0607634 9.266721
12023 0 .020203155 .05064819 19.21825 48.94214 40.74682 5.484812 19.67006 3.821731 4.5854025 9.28452
12051 1 .03820237 .04982225 19.345253 50.38468 48.94954 5.1117 21.505966 2.853569 4.1619053 9.398809
12097 1 .032213494 .09105444 6.085429 47.88599 37.465202 4.92234 11.81852 3.667781 3.8449705 9.230143
45051 1 .019798694 .06506819 21.93965 48.72841 40.87756 5.618864 17.956003 4.5145354 3.13967 9.122165
12113 1 .012715906 .04233337 4.4611635 50.17484 30.0262 7.845726 16.227715 4.042563 2.451998 9.369564
12029 0 .009243805 .021697266 11.51624 51.58557 50.16978 7.608696 25.16313 2.4888525 3.0230474 9.173158
48201 1 .02333253 .0888132 19.7293 49.871 29.08823 3.3929224 10.38354 7.266665 3.889525 9.777017
1097 1 .018488873 .07762158 31.39448 48.0055 38.17163 7.090584 18.840631 5.699586 2.65059 9.505544
12086 1 .024642127 .1101507 17.430738 47.25192 35.64097 4.950161 15.032413 6.764805 2.814402 9.543378
12033 1 .015408752 .08349384 19.653814 48.73061 32.41972 7.511163 17.395672 5.884079 2.523529 9.447939
12057 1 .024940295 .09968602 13.37404 48.32236 33.857018 5.16924 14.046057 6.461534 2.3823113 9.457981
12031 0 .02079512 .077514 24.584 48.19404 33.07613 5.753144 15.838985 6.623807 3.0572114 9.496647
12011 1 .0256431 .09023709 11.28497 47.50346 29.316607 4.3791714 9.100153 6.744389 3.718771 9.475623
12039 0 .008057941 .014365197 59.92374 47.19411 52.61864 7.111569 32.635822 4.403769 4.136399 9.221379
12027 1 .03882077 .03855988 18.638144 50.0287 48.96344 3.9579735 21.077866 3.4366775 3.545542 9.135833
48261 1 .06679035 .00742115 0 50.09276 66.5529 1.3636364 34.935303 .31451935 1.6517804 9.270212
12133 1 .018945634 .018053267 15.671335 48.37315 48.67087 5.947441 24.967003 3.2579646 3.47662 9.102421
12041 0 .02443992 .015105227 6.364563 50.13578 42.43488 4.191344 19.259523 2.881986 3.9107556 9.150378
12063 0 .01160335 .017379576 26.08209 49.47709 48.51962 4.988573 22.983685 3.780103 4.205929 9.144734
12065 0 .015668718 .011285208 47.49114 48.19996 48.0459 7.515514 28.348616 2.940577 3.5321546 9.107975
12067 0 .011881188 .008910891 7.376238 49.80198 45.8585 4.0210943 21.363073 2.1323345 3.782812 9.032051
12073 0 .02051282 .0847556 24.606035 48.15505 20.99827 4.444531 17.84765 5.418667 3.736507 9.364605
12075 0 .01973586 .04171443 15.953152 48.48742 45.6104 6.446303 20.769426 2.94148 2.711335 9.251962
48273 1 .0211192 .06643002 3.8957164 50.82627 40.78736 5.333845 21.96994 3.664557 .9368822 9.323848
12079 0 .014455896 .02188462 42.47758 47.01513 56.15412 7.425913 30.20812 3.112178 4.0226355 9.173987
1035 1 .007580064 .0005053376 41.09658 47.60281 57.55898 7.286822 29.413256 2.976611 4.488977 9.207937
34001 1 .0423684 .11113738 17.752686 46.99479 38.50223 8.456069 12.647988 5.861217 2.605016 9.509334
12021 1 .02467218 .0754786 6.21145 49.62306 28.25887 3.81551 13.62447 3.802449 3.231919 9.248021
12127 1 .02711849 .0765757 11.08906 47.44703 33.067005 6.173551 14.055244 5.474462 3.135992 9.261699
12083 0 .01864149 .07106464 16.383745 48.09279 39.90035 6.562587 17.88733 4.37458 4.280749 9.267193
22109 1 .02615563 .02020638 15.461725 49.96104 46.97525 3.149323 14.40141 4.3579555 2.7782445 9.715772
22089 1 .018892596 .04330887 25.430286 50.06538 40.7609 6.117895 13.250798 4.907351 2.9714336 9.895657
22011 1 .02171509 .01953688 15.954558 50.62163 41.6595 9.048068 17.219868 3.2878094 4.4167676 9.552155
22075 1 .03539823 .03348274 21.32322 51.12056 49.46075 5.271829 15.380348 3.5400674 1.528741 9.780868
48039 1 .021840144 .035896957 7.810835 52.89563 34.457237 3.390775 8.202688 4.843072 3.001977 9.792276
12089 0 .022859216 .03885462 13.645985 49.81253 41.45139 5.297636 12.353267 3.9509876 3.4803135 9.627734
end
[/CODE]
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