Greetings Everyone!
Hopefully, you all will be fine, I am using psmatc2 as well as teffects psmatch for propensity score matching, although I have applied the following codes
I want to match the firms on DEBT_w, LN_TotalAssets_w, and ReturnonAssets_w, moreover, how can I report the treated group regression, un-treated group regression along with t-test and p-values. I am sharing my data with the help of dataex but some variables are not included due to the dataex limitations. Hoping for yours positive response.
Thanks in Advance
Regards
Sattar Khan
Hopefully, you all will be fine, I am using psmatc2 as well as teffects psmatch for propensity score matching, although I have applied the following codes
HTML Code:
ttest abs_KTM_w, by(affiliation1) psmatch2 affiliation1 firmauditedbybig4 InstitOwnAggreg_w familyownership_w BlockOwn_10_w Manager_own_w Bsize_w familyDire_w ACinde_w Boardinde_w firmage_w lossdummy_w LN_TotalAssets_w DEBT_w ReturnonAssets_w Sales_GROWTH_w i.psxsectorcode i.year, out(abs_KTM_w) psmatch2 affiliation1 firmauditedbybig4 InstitOwnAggreg_w familyownership_w BlockOwn_10_w Manager_own_w Bsize_w familyDire_w ACinde_w Boardinde_w firmage_w lossdummy_w LN_TotalAssets_w DEBT_w ReturnonAssets_w Sales_GROWTH_w i.psxsectorcode i.year, out(abs_KTM_w) logit ate teffects psmatch (abs_KTM_w) (affiliation1 firmauditedbybig4 InstitOwnAggreg_w familyownership_w BlockOwn_10_w Manager_own_w Bsize_w familyDire_w ACinde_w Boardinde_w firmage_w lossdummy_w LN_TotalAssets_w DEBT_w ReturnonAssets_w Sales_GROWTH_w) teffects psmatch (abs_KTM_w) (affiliation1 firmauditedbybig4 InstitOwnAggreg_w familyownership_w BlockOwn_10_w Manager_own_w Bsize_w familyDire_w ACinde_w Boardinde_w firmage_w lossdummy_w LN_TotalAssets_w DEBT_w ReturnonAssets_w Sales_GROWTH_w, probit), atet teffects psmatch (abs_KTM_w) (affiliation1 firmauditedbybig4 InstitOwnAggreg_w familyownership_w BlockOwn_10_w Manager_own_w Bsize_w familyDire_w ACinde_w Boardinde_w firmage_w lossdummy_w LN_TotalAssets_w DEBT_w ReturnonAssets_w Sales_GROWTH_w), nn(3)
Thanks in Advance
Regards
Sattar Khan
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input str7 companies int year byte affiliation1 float abs_KTM_w byte firmauditedbybig4 float(InstitOwnAggreg_w familyownership_w BlockOwn_10_w Manager_own_w Boardinde_w) int firmage_w float(LN_TotalAssets_w DEBT_w ReturnonAssets_w) "ANTM" 2010 0 . . 0 . 1 . . 28 . . . "ANTM" 2011 0 . . 0 . 1 . . 29 7.658327 .5258997 .05639667 "ANTM" 2012 0 .08571542 0 .064611696 .7176 1 .3776 0 30 7.670125 .5639898 .00496746 "ANTM" 2013 0 .01586557 0 .064611696 .7176 1 .3776 0 31 7.784957 .5253878 .02997426 "ANTM" 2014 0 .01919296 0 .064611696 .0015 0 .0057 0 32 7.713751 .5192175 .0036428196 "ANTM" 2015 0 . 0 .05323147 0 0 .006 .2857143 33 7.261761 .4894905 -.1919828 "ANTM" 2016 0 . 0 .04725724 .0028 0 .0057 .2857143 34 7.29785 .50709486 -.05560009 "ANTM" 2017 0 . 0 .04725724 .0047 0 .0066 .14285715 35 7.164676 .25199178 -.1394787 "ANTM" 2018 0 . 0 .04725724 .0052 0 .0081 .2857143 36 7.217713 .28476852 -.005576635 "ANTM" 2019 0 .13654472 0 .04725724 .0072 0 .0082 .2857143 37 7.401558 .3213206 .01160793 "ABOT" 2010 0 . 0 .08904193 0 0 .00038 0 62 8.663957 0 .1876209 "ABOT" 2011 0 .23240325 0 .08769335 0 0 .00038 0 63 8.909951 0 .2220842 "ABOT" 2012 0 .27517605 0 .07502335 0 0 .00038 0 64 9.14098 0 .2240217 "ABOT" 2013 0 .20776977 0 .05420093 0 0 .00038 0 65 9.320807 0 .22643267 "ABOT" 2014 0 .2476054 1 .05400541 0 0 .00038 .2857143 66 9.529928 0 .2045897 "ABOT" 2015 0 .2474561 1 .05709202 0 0 .0004 .2857143 67 9.710406 0 .21753 "ABOT" 2016 0 .14436993 1 .08496767 0 0 .00043 .2857143 68 9.778219 0 .227926 "ABOT" 2017 0 .278778 1 .1004569 0 0 .00043 .2857143 69 9.862045 0 .21915667 "ABOT" 2018 0 .09935506 1 .04323109 0 0 .0005 .2857143 70 9.917455 .010566384 .13284652 "ABOT" 2019 0 . 1 .04656527 0 0 .0004 .2857143 71 . . . "AGSML" 2010 0 . 0 .003760759 0 0 0 .14285715 26 . . . "AGSML" 2011 0 . 0 0 0 0 0 .14285715 27 . . . "AGSML" 2012 0 . 0 .002378199 0 0 0 0 28 . . . "AGSML" 2013 0 . . 0 0 0 0 . 29 . . . "AGSML" 2014 0 . 0 .04673046 0 0 0 .14285715 30 . . . "AGSML" 2015 0 . 0 .15590754 0 0 0 .14285715 31 . . . "AGSML" 2016 0 . 0 .0692838 0 0 0 .14285715 32 . . . "AGSML" 2017 0 . 0 .0692838 0 0 0 .2857143 33 7.958177 .19330312 .01923286 "AGSML" 2018 0 . 0 .0692838 0 0 0 .2857143 34 7.938604 .19652078 -.11507667 "AGSML" 2019 0 . 0 .0692838 0 0 0 .2857143 35 8.314323 .13472445 -.013234445 "ADAMS" 2010 1 . 0 .0007300924 .62733 1 .01887 0 18 7.072236 .2495264 .07872115 "ADAMS" 2011 1 .01865147 0 .00014313836 .62741 1 .01887 0 19 7.21901 .27395126 .034376036 "ADAMS" 2012 1 .27723503 0 .00014313836 .62878 1 .02013 0 20 7.868612 .36518735 .016339732 "ADAMS" 2013 1 .21216252 0 .0006133262 .62869 1 .02013 0 21 8.182388 .47576445 .02353811 "ADAMS" 2014 1 .07517353 0 .0000109884 .70745 1 .5046 .4285714 22 8.148243 .4847961 .008786338 "ADAMS" 2015 1 .13294512 0 .2068587 .70703 1 .50418 .14285715 23 7.844556 .4065264 -.027627503 "ADAMS" 2016 1 .10186207 0 .2068587 .70992 1 .50418 .14285715 24 7.727851 .29417053 .05481044 "ADAMS" 2017 1 . 0 .00004088841 .70992 1 .50418 .2857143 25 8.309898 .4241444 -.0007352545 "ADAMS" 2018 1 . 0 .00004088841 .70992 1 .50418 .2857143 26 8.225708 .439149 -.008228299 "ADAMS" 2019 1 . 0 .00004088841 .70992 1 .50418 .2857143 27 8.769133 .23309344 -.03949559 "ADOS" 2010 0 . 0 . .7389399 1 .7389399 . 24 5.924922 0 .0862741 "ADOS" 2011 0 .372377 0 .003144654 .7389399 1 .7389399 0 25 6.148701 0 .02867922 "ADOS" 2012 0 .3257872 0 .003463677 .7389399 1 .7389399 0 26 6.116848 0 .0332596 "ADOS" 2013 0 .26192567 0 .09247106 .7389399 1 .7389399 0 27 6.778072 0 .11223465 "ADOS" 2014 0 .05110693 0 .09237879 .73423 1 .73423 0 28 6.680208 0 .008265065 "ADOS" 2015 0 .17759146 0 .08957742 .73431 1 .73431 .11111111 29 6.490783 0 .006172624 "ADOS" 2016 0 .031859938 0 .0894244 .73127 1 .73127 .11111111 30 6.165254 0 .01199146 "ADOS" 2017 0 . 0 .008212273 .73119 1 .73119 .11111111 31 6.078028 .22926946 -.074184716 "ADOS" 2018 0 . 0 .008212273 .73119 1 .73119 .11111111 32 5.677278 .10953165 -.3148487 "ADOS" 2019 0 . 0 .008212273 .73119 1 .73119 .11111111 33 5.634893 .2183774 -.2448425 "AGIL" 2010 1 . . . 0 0 0 0 29 7.67299 .0022796 .1833915 "AGIL" 2011 1 .12354458 1 .1532879 0 0 .0003 0 30 7.802782 .0009806325 .17937402 "AGIL" 2012 1 .14708623 1 .13130295 0 0 .0003 0 31 7.974223 .0001376889 .1962411 "AGIL" 2013 1 .0010582416 1 .12511535 0 0 .00033 0 32 7.992134 0 .09416419 "AGIL" 2014 1 .12454236 1 .16996183 0 0 .00033 0 33 8.0263 0 .08835446 "AGIL" 2015 1 .02653834 1 0 0 0 .00024 .14285715 34 8.206011 .030467663 .14895302 "AGIL" 2016 1 .17797667 1 .1836675 0 0 .00024 .14285715 35 8.304767 0 .18280527 "AGIL" 2017 1 .09978685 1 .1836675 0 0 .00057 .14285715 36 8.454785 0 .15872273 "AGIL" 2018 1 .06755728 1 .15773994 0 0 0 .14285715 37 8.578288 0 .18056443 "AGIL" 2019 1 .0297376 1 .1519675 0 0 0 .2857143 38 8.722711 0 .17175287 "AGL" 2010 0 . 0 .0438393 0 0 0 . 51 10.619952 .4627748 .021630976 "AGL" 2011 0 .0026342415 1 .7054782 0 0 0 0 52 10.686416 .492422 .0011563074 "AGL" 2012 0 .10088913 1 .0045397 0 0 0 0 53 10.692988 .5183061 -.036971815 "AGL" 2013 0 . 1 .7054782 0 0 0 0 54 10.697366 .5249742 -.05096776 "AGL" 2014 0 . 1 .0115969 0 0 0 0 55 10.812682 .462733 -.08669244 "AGL" 2015 0 . 1 .7054782 0 0 0 .125 56 10.799253 .4690952 -.07125185 "AGL" 2016 0 . 1 .7054782 0 0 0 .125 57 10.776967 .4744823 -.0481984 "AGL" 2017 0 . 1 .009032418 0 0 0 .2857143 58 10.759788 .51995414 -.09521785 "AGL" 2018 0 . 1 .26850897 0 0 0 .2857143 59 10.74094 .5307492 -.072359085 "AGL" 2019 0 . 0 .7054782 0 0 0 .2857143 60 . . . "AHTM" 2010 0 . 0 .7054782 .4079 1 .4079 0 21 7.948676 .5638112 .020732926 "AHTM" 2011 0 .019990465 0 .07158407 .42389 1 .42389 0 22 7.90049 .4551581 .06381705 "AHTM" 2012 0 .0448332 0 .07158407 .42389 1 .42389 0 23 7.844366 .403234 .03771459 "AHTM" 2013 0 .008159353 1 .0005382334 .49288 1 .49285 0 24 8.096226 .28717935 .04387462 "AHTM" 2014 0 .1085841 0 .06406907 .49288 1 .49285 0 25 8.198165 .3611859 .026441587 "AHTM" 2015 0 .026472777 0 .06382143 .49288 1 .49285 0 26 8.207249 .38909495 -.00544658 "AHTM" 2016 0 .0826352 0 .06382143 .49288 1 .49285 0 27 8.20922 .411751 -.004930504 "AHTM" 2017 0 .10795268 0 .06406261 .49285 1 .49285 0 28 8.32279 .447466 -.0008378212 "AHTM" 2018 0 .018498437 0 .06982501 .49438 1 .49285 .125 29 8.36983 .4215885 .002344897 "AHTM" 2019 0 .04769975 0 .06982501 .49438 1 .49285 .125 30 8.467882 .3984835 .008605237 "ASL" 2010 1 . . . . 1 . . 5 . . . "ASL" 2011 1 . . . . 1 . . 6 9.044982 .6007032 .016434833 "ASL" 2012 1 . 1 .005802211 .3984 1 .3984 .125 7 9.30083 .5925314 -.007865096 "ASL" 2013 1 . 1 .10399773 .0521 0 .0521 0 8 9.57154 .6277273 -.05197031 "ASL" 2014 1 . 1 .03392551 .0514 0 .0514 0 9 9.697705 .54500556 -.021295806 "ASL" 2015 1 . 1 .08157366 .0514 0 .0514 .22222222 10 9.638017 .6190234 -.07894685 "ASL" 2016 1 . 1 .05972958 .0512 0 .0512 .22222222 11 9.639021 .6316578 -.010089694 "ASL" 2017 1 .00568456 1 .09998187 .2063 1 .2063 .3333333 12 9.808291 .4247274 .05609908 "ASL" 2018 1 .1125693 1 .15092263 .1804 1 .1804 .44444445 13 9.924554 .5108637 .06286167 "ASL" 2019 1 .27980396 1 .27568945 .1961 1 .1961 .44444445 14 10.396075 .6670027 .007751085 "AKZO" 2010 0 . . . . 1 . . . . . . "AKZO" 2011 0 . . . . 1 . . . 8.8011465 0 .05651462 "AKZO" 2012 0 .492441 . .1165082 0 0 0 . 3 8.904082 0 .05109003 "AKZO" 2013 0 .0731278 . .08702276 0 0 0 . 3 8.354352 0 .14256972 "AKZO" 2014 0 .013445818 1 .0619094 0 0 0 .2857143 3 8.287369 0 .11548291 "AKZO" 2015 0 .08850758 1 .05915087 0 0 0 .14285715 4 8.346602 0 .12792513 "AKZO" 2016 0 .09980697 1 .09241635 0 0 0 .2857143 5 8.5344305 0 .09647006 "AKZO" 2017 0 .08643355 1 .07455025 0 0 0 .2857143 6 8.660783 0 .0992725 "AKZO" 2018 0 .12122718 1 .08025673 0 0 0 .2857143 7 8.650184 0 .067793004 "AKZO" 2019 0 .1200663 1 .06945276 0 0 0 .2857143 8 9.0378475 .0022423714 .065222934 end format %ty year
