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
Related Posts with "Dummy Variable in Regression"
Need help with formatting in asdocI am having an issue with formatting the values in the table while using asdoc and tabstat. for exam…
How to get p-Value & CI of each factor variable for a prevalence table?I can only explain this question through an example and I cannot go for a logit or logistic. This i…
Disable the Stata to recognise a variable by part of the variable nameI have tried to search for similar question but couldn't find any. So I hope to create a new questio…
Median Follow-up timeHello, could somebody give me an advice on how to calculate median follow-up time? Thank you very mu…
How I can test if price elasticity in a quantile regression differs among quantiles?Dear statalists, I would like to ask you how I could test if price elasticity differs statisticall …
Subscribe to:
Post Comments (Atom)
0 Response to "Dummy Variable in Regression"
Post a Comment