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st: Graphing regression models
From
David Torres <[email protected]>
To
"[email protected]" <[email protected]>
Subject
st: Graphing regression models
Date
Wed, 20 Nov 2013 13:02:58 -0500
Hello,
I have some two-level model output that I would like to graph, but am not familiar with the process of going about doing this. HLM7 makes it look easy, but Stata is a bit more complicated.
About my models:
1. I don't know if it matters, but one of the predictors is instrumented, so I'm using the -xtivreg- command to run the models.
2. At level 1 I have my intercept, the linear and quadratic functional forms for age, and three other time-varying coefficients.
3. At level 2 I have a number of demographic variables, among them race, gender, poverty status.
What I would like to graph:
I would like to graph the curves for race (i.e., cross-level interactions with the intercept and the linear and quadratic age variables). (See model 1 below, specifically the variables black, hispan, othrace, y2, y3, y4, yy2, yy3, yy4.)
And I would like to graph the curves for race when I add an additional cross-level interaction (besides those in the preceding line) with a third time-varying variable. (See the additional race dummy interactions with the third time-varying variable diffsch in model 2; they are d2, d3, and d4.)
CAN SOMEONE PLEASE ASSIST ME?
(1) (2)
smsc smsc
diffsch 12.44 24.49**
(7.747) (7.825)
outzone -0.705 -0.992
(1.570) (1.781)
female 5.297*** 5.181**
(1.104) (1.989)
black -23.22*** -18.59***
(2.719) (3.267)
hispan -25.64*** -17.40***
(2.650) (3.078)
othrace 4.346 12.99*
(3.115) (5.325)
c_medrent 0.873 1.716**
(0.700) (0.543)
c_medvehic 0.880 0.807*
(0.496) (0.390)
c_medhhinc 4.659*** 5.663***
(1.017) (0.776)
c_medage 1.116* 1.372***
(0.460) (0.397)
c_pctminor 1.659** 0.620
(0.567) (0.434)
civic -0.923* -1.687***
(0.448) (0.371)
relig 0.0983 -0.0950
(0.201) (0.163)
socadv 1.102 2.286***
(0.773) (0.646)
year 54.37*** 54.24***
(1.331) (2.049)
y0 0.156 1.399
(1.269) (1.882)
y1 -3.039*** -2.563*
(0.841) (1.293)
y2 -4.026** -4.412*
(1.436) (2.209)
y3 2.483 2.211
(1.408) (2.166)
y4 13.07*** 12.76***
(2.274) (3.507)
yearsq -2.650*** -2.497***
(0.328) (0.502)
yy0 0.219 -0.0960
(0.314) (0.467)
yy1 0.921*** 0.703*
(0.207) (0.317)
yy2 -0.249 -0.117
(0.354) (0.542)
yy3 -0.695* -0.575
(0.347) (0.531)
yy4 -2.597*** -2.666**
(0.560) (0.859)
d1 -0.596
(10.243)
d2 13.15
(11.362)
d3 -20.70*
(9.736)
d4 -22.60
(17.622)
_cons 499.9*** 494.1***
(3.228) (2.778)
N 28021 28021
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