-------------------------------------------------------------------------------------------------------------------------------------------- name: log: G:\BT nationalist.log log type: text opened on: 23 Dec 2022, 00:28:26 . do "C:\Users\ljzig\AppData\Local\Temp\STD40a8_000000.tmp" . * mention police . . tab police Mentions | Police | Freq. Percent Cum. ------------+----------------------------------- 0 | 805 95.27 95.27 1 | 40 4.73 100.00 ------------+----------------------------------- Total | 845 100.00 . reg police i.treat##gender if gender!=3, robust Linear regression Number of obs = 840 F(7, 832) = 2.14 Prob > F = 0.0378 R-squared = 0.0098 Root MSE = .21293 -------------------------------------------------------------------------------- | Robust police | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- treat | Nationalist | .0225595 .0323085 0.70 0.485 -.0408563 .0859752 Feminist | .0279503 .0324697 0.86 0.390 -.0357819 .0916826 LGBT | .002818 .0294812 0.10 0.924 -.0550483 .0606844 | 2.gender | -.0344693 .0231861 -1.49 0.137 -.0799793 .0110408 | treat#gender | Nationalist#2 | .0398601 .0425247 0.94 0.349 -.0436083 .1233285 Feminist#2 | -.0106435 .0369109 -0.29 0.773 -.083093 .0618059 LGBT#2 | .038678 .0379393 1.02 0.308 -.03579 .113146 | _cons | .0434783 .0213633 2.04 0.042 .001546 .0854105 -------------------------------------------------------------------------------- . . reg police i.treat if gender==1 // Men Source | SS df MS Number of obs = 418 -------------+---------------------------------- F(3, 414) = 0.37 Model | .061096817 3 .020365606 Prob > F = 0.7720 Residual | 22.5609128 414 .054494958 R-squared = 0.0027 -------------+---------------------------------- Adj R-squared = -0.0045 Total | 22.6220096 417 .054249423 Root MSE = .23344 ------------------------------------------------------------------------------ police | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- treat | Nationalist | .0225595 .0332632 0.68 0.498 -.0428263 .0879453 Feminist | .0279503 .0328466 0.85 0.395 -.0366166 .0925172 LGBT | .002818 .0331198 0.09 0.932 -.0622859 .0679219 | _cons | .0434783 .024338 1.79 0.075 -.0043631 .0913197 ------------------------------------------------------------------------------ . estimates store MEN . reg police i.treat if gender==2 // Women Source | SS df MS Number of obs = 422 -------------+---------------------------------- F(3, 418) = 2.15 Model | .233846559 3 .077948853 Prob > F = 0.0934 Residual | 15.1595184 418 .03626679 R-squared = 0.0152 -------------+---------------------------------- Adj R-squared = 0.0081 Total | 15.3933649 421 .036563812 Root MSE = .19044 ------------------------------------------------------------------------------ police | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- treat | Nationalist | .0624196 .0263969 2.36 0.019 .0105323 .1143068 Feminist | .0173068 .025394 0.68 0.496 -.0326092 .0672227 LGBT | .041496 .026326 1.58 0.116 -.0102518 .0932439 | _cons | .009009 .0180756 0.50 0.618 -.0265214 .0445394 ------------------------------------------------------------------------------ . estimates store WOMEN . suest MEN WOMEN, robust coefl Simultaneous results for MEN, WOMEN Number of obs = 840 ------------------------------------------------------------------------------ | Coef. Legend -------------+---------------------------------------------------------------- MEN_mean | treat | Nationalist | .0225595 _b[MEN_mean:1.treat] Feminist | .0279503 _b[MEN_mean:2.treat] LGBT | .002818 _b[MEN_mean:3.treat] | _cons | .0434783 _b[MEN_mean:_cons] -------------+---------------------------------------------------------------- MEN_lnvar | _cons | -2.909647 _b[MEN_lnvar:_cons] -------------+---------------------------------------------------------------- WOMEN_mean | treat | Nationalist | .0624196 _b[WOMEN_mean:1.treat] Feminist | .0173068 _b[WOMEN_mean:2.treat] LGBT | .041496 _b[WOMEN_mean:3.treat] | _cons | .009009 _b[WOMEN_mean:_cons] -------------+---------------------------------------------------------------- WOMEN_lnvar | _cons | -3.316853 _b[WOMEN_lnvar:_cons] ------------------------------------------------------------------------------ . . lincom _b[MEN_mean:1.treat] - _b[WOMEN_mean:1.treat] // Nationalist ( 1) [MEN_mean]1.treat - [WOMEN_mean]1.treat = 0 ------------------------------------------------------------------------------ | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- (1) | -.0398601 .042347 -0.94 0.347 -.1228586 .0431384 ------------------------------------------------------------------------------ . lincom _b[MEN_mean:2.treat] - _b[WOMEN_mean:2.treat] // Feminist ( 1) [MEN_mean]2.treat - [WOMEN_mean]2.treat = 0 ------------------------------------------------------------------------------ | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- (1) | .0106435 .0367566 0.29 0.772 -.0613981 .0826852 ------------------------------------------------------------------------------ . lincom _b[MEN_mean:3.treat] - _b[WOMEN_mean:3.treat] // LGBT ( 1) [MEN_mean]3.treat - [WOMEN_mean]3.treat = 0 ------------------------------------------------------------------------------ | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- (1) | -.038678 .0377807 -1.02 0.306 -.1127269 .0353709 ------------------------------------------------------------------------------ . . end of do-file . log close name: log: G:\BT nationalist.log log type: text closed on: 23 Dec 2022, 00:28:54 --------------------------------------------------------------------------------------------------------------------------------------------