Greetings Everyone!
Hopefully, you will be fine, I want to check the impact of Family CEOs on firm performance, Family CEO is a dummy variable in my regression, in addition to this, I also want Non-Family CEOs impact as well, when I run the regression it is run only for Family CEOs which take the value of 1, while Non-Family CEOs have the value of 0, How will this regression run?
Kindly guide me in this regard.
Thanks in Advance.
The data is as follows,
* Example generated by -dataex-. To install: ssc install dataex
clear
input byte(familyceo familycfo ceoexp ceoduality firmauditedbybig4) int firmage float(ROA leverage FSize GROWTH)
1 0 . 0 0 32 1.459615 .6678604 7.668056 .
1 0 . 0 0 33 -7.754289 .6067408 7.261759 3.054217
1 0 . 0 0 34 . . . .
1 0 . 0 0 35 -8.80937 .4181014 7.164674 .
1 0 . 0 0 36 .25011736 .45187625 7.217708 .6899911
1 0 . 0 0 37 3.831065 .5182462 7.38139 .8478552
0 0 0 0 1 63 19.89492 .21250607 9.529928 .
0 0 1 0 1 63 19.89492 .21463886 9.710406 .9301814
0 0 1 0 1 63 19.89492 .21250607 9.778219 .9051874
0 0 1 0 1 63 19.89492 .25370887 9.864554 .8964928
0 0 1 0 1 63 19.89492 .3474259 9.917455 .8778219
0 0 1 0 1 63 12.098378 .3556304 9.940432 .985522
0 0 . 0 0 30 3.164827 .7846099 8.184522 .
0 0 . 0 0 31 -8.80937 .910777 8.06464 .5994081
0 0 . 0 0 32 -8.80937 .9236114 8.022999 4.0967345
0 0 . 0 0 33 -6.127638 .9236114 7.958175 1.4421222
0 0 . 0 0 34 -8.80937 .9236114 7.938602 2.514825
0 0 . 0 0 35 -6.362999 .8580823 8.310107 .7753903
1 0 0 1 0 22 -1.7192656 .6652378 8.14824 .
0 0 . 0 0 23 -3.2373226 .57061285 7.844554 1.294626
0 0 . 0 0 24 7.366319 .4672839 7.735307 .7518582
0 0 . 0 0 25 -.14124398 .7162448 8.3098955 1.762861
0 0 . 0 0 26 -.07025166 .6959535 8.216352 .4916485
0 0 . 0 0 27 -4.469071 .47768 8.778835 1.625662
1 0 . 0 0 28 3.908297 .6691024 6.680208 .
1 0 . 0 0 29 1.857098 .5940771 6.490783 1.2480315
1 0 . 0 0 30 1.9604052 .49459785 6.373218 .9451178
1 0 . 0 0 31 -3.821005 .5233763 6.373218 1.4368476
1 0 . 0 0 32 -8.80937 .6072503 6.373218 3.9577906
1 0 . 0 0 33 -8.80937 .8332708 6.373218 2.8359556
0 0 1 0 1 33 13.014237 .21250607 8.039464 .
0 0 1 0 1 34 19.89492 .21250607 8.173347 .6416053
0 0 1 0 1 35 18.970385 .21250607 8.232238 .8549759
0 0 1 0 1 36 19.466335 .21250607 8.333967 1.0178238
0 0 1 0 1 37 17.775503 .21250607 8.377935 .9254964
0 0 1 0 1 38 17.249828 .21250607 8.448696 .8582649
0 0 0 0 1 55 -8.80937 .8003521 10.759789 .
0 0 1 0 1 56 -7.516587 .8591401 10.759789 .7888702
0 0 . 0 1 57 -3.6039126 .9080115 10.759789 .4299975
0 0 . . 1 58 -8.231997 .9236114 10.759789 2.319735
0 0 . 0 1 59 -7.876342 .9236114 10.740938 .7834263
0 0 1 0 0 60 -1.404496 .8447106 10.759789 .372364
0 0 0 0 0 25 2.2452927 .4854042 8.198164 .
0 0 0 0 0 26 -1.921782 .4668746 8.207247 1.224217
0 0 0 0 0 27 .23675595 .47850555 8.209219 .9401861
0 0 0 0 0 28 .2322288 .5353287 8.32279 .8519874
0 0 0 0 0 29 1.5040905 .55433726 8.369829 .7831377
0 0 0 0 0 30 2.717768 .59114134 8.467881 .7119889
0 0 1 0 1 15 -2.511726 .8443624 9.697705 .
0 0 1 0 1 15 -8.80937 .8167302 9.638017 .9754818
0 0 1 0 1 15 -1.249461 .8270376 9.639021 .985204
0 0 1 0 1 15 4.851413 .6315141 9.808291 .6844545
0 0 1 0 1 15 9.378237 .5842944 9.924554 .7446014
0 0 1 0 1 15 -1.26006 .7327657 10.396075 .9344124
0 0 1 0 1 15 17.075975 .3470866 8.287368 .
0 0 0 0 1 15 . . . .9948369
0 0 1 0 1 15 14.846066 .3408561 8.6568165 .8658588
0 0 1 0 1 15 10.669405 .3241286 8.650183 .9789823
0 0 1 0 1 15 9.325613 .21644107 9.0378475 1.0358547
0 0 1 0 1 15 . . . .
0 0 0 0 0 23 8.826463 .49371645 8.388728 .
0 0 . 0 0 24 15.698702 .3681829 8.168033 .9409341
0 0 . 0 0 25 15.83402 .29515263 8.105588 1.0126767
0 0 . 0 0 26 4.0019803 .5149329 8.550848 1.0875539
0 0 . 0 0 27 19.89492 .3589711 8.631696 .7108834
0 0 . 0 0 28 18.73228 .4967346 8.766024 1.0459486
1 0 0 0 0 46 -8.80937 .9236114 8.559438 .
1 0 0 0 0 47 -8.80937 .9236114 8.462826 1.9834975
1 0 0 0 0 48 -8.80937 .9236114 8.377414 .
1 0 0 0 0 49 -8.137987 .9236114 8.293559 .
1 0 0 0 0 50 -1.3095858 .9236114 7.815776 .
1 0 0 0 0 51 -5.59072 .9236114 7.717165 .
0 0 0 0 1 31 19.89492 .21250607 9.2092085 .
0 0 0 0 1 32 19.89492 .21250607 8.764783 .9112272
0 0 0 0 1 33 19.89492 .27664977 8.4434 .7964498
0 0 0 0 1 34 19.89492 .6385494 8.679538 .6411182
0 0 0 0 1 35 19.89492 .7981861 8.822537 .9741348
0 0 0 0 1 36 19.89492 .8349503 8.608017 1.3845043
1 0 0 0 1 45 1.160986 .6246384 8.789524 .
1 0 0 0 0 46 3.092305 .6332455 8.874778 1.1051954
1 0 0 0 0 47 3.2294085 .609208 8.85407 .8597001
1 0 0 0 0 48 -1.332969 .7230148 9.160687 1.1750988
1 0 0 0 0 49 -2.577426 .68208 9.15288 .759365
1 0 0 0 0 50 4.937258 .661628 9.132781 .9722548
. . . . 1 15 4.791622 .5250776 7.512246 .
0 0 1 1 1 15 3.826842 .3260834 8.383708 .8903771
0 0 1 1 1 15 6.872365 .23133583 8.512298 .7228909
0 0 1 0 1 15 -.1420071 .3481553 8.66932 1.078
0 0 1 0 1 15 -.2942775 .3985448 8.901327 1.1904831
0 0 1 0 1 15 3.0737975 .3928256 8.932312 1.2827805
1 0 1 0 1 56 3.493249 .2982024 7.010952 .
0 0 1 0 0 57 -4.987038 .3384683 7.036983 1.23194
0 0 1 0 0 58 -2.645522 .37328205 7.206051 1.051406
0 0 1 0 0 59 -2.538368 .3618834 7.143128 .8510298
0 0 1 0 0 60 2.648612 .3908854 7.214931 .906648
0 0 1 0 0 61 -.4464564 .4778426 7.642673 1.0372677
0 0 1 0 1 19 19.89492 .26621428 8.65854 .
0 0 1 0 1 20 2.2178755 .21250607 8.571435 1.22401
0 0 1 0 1 21 18.719685 .2179374 8.674351 .8938115
0 0 1 0 1 22 19.89492 .26749927 8.778236 .9885384
end
label values ceoduality CEOD
label def CEOD 0 "Chairperson & CEO are not the Same Person", modify
label def CEOD 1 "Chairperson & CEO are the Same Person", modify
label values firmauditedbybig4 BIG4
label def BIG4 0 "Not Audited by BIG4", modify
label def BIG4 1 "Audited by BIG4", modify
[/CODE]
------------------ copy up to and including the previous line ------------------
Listed 100 out of 1938 observations
Use the count() option to list more
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