Download Interaction effects and group comparisons

Transcript
Variables that uniquely identify margins: jobexp black
15
20
Linear Prediction
25
30
35
Adjusted Predictions of black
1
2
3
4
5
6
7
8
9 10 11 12 13 14 15 16 17 18 19 20 21
jobexp
white
black
This graph plots the relationship between job experience and income for values of job experience
that range between 1 year and 21 years (the observed range in the data). More specifically,
because education is also in the model and I specified the atmeans option, it plots the
relationship between job experience and income for individuals who have average values of
education (13.16 years). I could have used some other value for education but doing so would
have simply shifted both lines up or down by the same amount. As you see we get two parallel
lines with the black line always 2.55 points below the white line. Doing the same thing for
education,
. quietly margins black, at (educ = (2(1)21)) atmeans
. marginsplot, noci ylabel(#10) scheme(sj) name(intonly_educ)
Variables that uniquely identify margins: educ black
5
10
15
Linear Prediction
20 25 30 35
40
45
Adjusted Predictions of black
2
3
4
5
6
7
8
9 10 11 12 13 14 15 16 17 18 19 20 21
educ
white
black
Interaction effects and group comparisons
Page 5