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The top stata output is a regression on how the sex of a person affects gross weekly pay after the implementation on the equal pay act


The bottom stata output is a regression on how the sex of a person affects gross weekly pay before the implementation on the 2010 equal pay

How has the gender pay gap change before and after the act? Is the change significant and what assumption justify using Before the act as a control group?
reg GRSSWK SEX ACT SEXACT Mumber of obs1,078 Source dt MS 19.50 0.0000 0.0516 Adj R-squared 0.0490 344.45 F(3. 1074) 3 2313219.82 Prob F Residual127423297 1.074 118643.665 R-squared Mode 6939659.45 Tocai 134362956 1,077 124756.691 coet.Sta. E 95 cont. Intezvai) SEX 165. 9008 24.035716900.000213-063118.7385 cons 657.208 39.20584 16.76 0.008 580.2793 734.1368 GRSSWK ACTI -50 . 50852 81.37736 -o.62 0.535-210.1852 109.1681 75.45547121.2739 22.90921S0-13043 0.A6 0.64

reg GRSSWK SEX 012018 SEXQ1 Number of obs,078 19.38 .0000 = 0.0514 Ady R-squared0.0487 344.5 Source E(3, 1074) Model 6901007.35 Residua 3 2300335.78 ProbsF al1274619491,074 118679 654R-aquared Total 134362956,077 124756.691ROot MSE GRSSWK Coef. Std. Err. re P>It! (95% Conf. Interval) SEX| -158.7264 24.66585-6.44 Ο.000-207.1251-110.3277 019 .7110536 77.407730.01 0.993 152.5986 151.1765 47.59719-0 , 14 0.885-100.2516 86.53641 66.7354 724.5418 cons 645.638640.2121 16.060.000
math   Statistics-And-Probability   
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Answer #1

From the adjusted R sauared values of the two sets of data they are almost close .. also p value is almost same in two cases.. so there's no significant changes after the implementation of equal pay act.

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