I'm running Stata 15.1 on a Mac OS and currently working with survey data that's been merged with census data (using respondents' self-reported county and zip code of residence). I'm trying to determine whether the means across political groups ('party3'--a categorical variable) for a continuous outcome are significantly different from zero:
Code:
. reg segindex i.party3 if white==1 [pweight=weight_pre], cluster(inputstate) (sum of wgt is 39,638.3774779992) Linear regression Number of obs = 41,878 F(2, 50) = 9.09 Prob > F = 0.0004 R-squared = 0.0066 Root MSE = .98795 (Std. Err. adjusted for 51 clusters in inputstate) Robust segindex Coef. Std. Err. t P>t [95% Conf. Interval] party3 2 -.1022216 .0369211 -2.77 0.008 -.1763797 -.0280635 3 -.1774221 .0444548 -3.99 0.000 -.2667122 -.088132 _cons .0772096 .1093238 0.71 0.483 -.1423737 .2967929 . margins i.party3, post Adjusted predictions Number of obs = 41,878 Model VCE : Robust Expression : Linear prediction, predict() Delta-method Margin Std. Err. t P>t [95% Conf. Interval] party3 1 .0772096 .1093238 0.71 0.483 -.1423737 .2967929 2 -.025012 .1101313 -0.23 0.821 -.2462172 .1961932 3 -.1002126 .1150351 -0.87 0.388 -.3312674 .1308423 . margins, coeflegend Adjusted predictions Number of obs = 41,878 Model VCE : Robust Expression : Linear prediction, predict() Margin Legend party3 1 .0772096 _b[1bn.party3] 2 -.025012 _b[2.party3] 3 -.1002126 _b[3.party3] . test _b[3.party3]=_b[1bn.party3] ( 1) - 1bn.party3 + 3.party3 = 0 F( 1, 50) = 15.93 Prob > F = 0.0002
0 Response to Difference between two means with highly overlapping 95% CIs is significant at p < 0.001 (?)
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