Greetings Everyone!
Hopefully, you will be fine, I have a dummy variable Family CEO, -I want summary statistics of both the categories of dummy variables i.e summary statistics of family CEOs coded with 1 and non-family CEOs coded with 0 for my data. How would I will do that?
Kindly guide me in this regard.
My data is as follows,
Thanks in Advance.
Hopefully, you will be fine, I have a dummy variable Family CEO, -I want summary statistics of both the categories of dummy variables i.e summary statistics of family CEOs coded with 1 and non-family CEOs coded with 0 for my data. How would I will do that?
Kindly guide me in this regard.
My data is as follows,
Code:
* 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
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