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RE: st: Plotting the impact of a variable with confidence interval
From
"Md. Alauddin Majumder" <[email protected]>
To
"[email protected]" <[email protected]>
Subject
RE: st: Plotting the impact of a variable with confidence interval
Date
Tue, 5 Mar 2013 13:56:33 +0000
Hi Maarten,
I've just tried the following:
quietly xtreg y c.x##c.x $human_capital $demographic $employment_characteristics $industry $yeardummy $attitude $others if dmale==1 & dwhite==1, fe vce(cl id)
margins, at(x==(15(1)20))
It gives the following output:
Predictive margins Number of obs = 5554
Model VCE : Robust
Expression : Linear prediction, predict()
1._at : x= 15
2._at : x= 16
3._at : x= 17
4._at : x= 18
5._at : x= 19
6._at : x= 20
------------------------------------------------------------------------------
| Delta-method
| Margin Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_at |
1 | . (not estimable)
2 | . (not estimable)
3 | . (not estimable)
4 | . (not estimable)
5 | . (not estimable)
6 | . (not estimable)
------------------------------------------------------------------------------
Accordingly, the command "marginsplot" gives me a blank diagram. Can you pls provide any suggestions in this regard? Thanks!
Regards
Md. Majumder
________________________________________
From: [email protected] [[email protected]] on behalf of Maarten Buis [[email protected]]
Sent: Monday, March 04, 2013 5:13 AM
To: [email protected]
Subject: Re: st: Plotting the impact of a variable with confidence interval
On Mon, Mar 4, 2013 at 11:23 AM, Md. Alauddin Majumder wrote:
> I have estimated this regression: y = ax + bx^2+......................................... Now, how can I show the impact of x (considering 20<x<40) on y with a confidence interval in a diagram?
See -help margins- and -help marginsplot-. To use that you need to
include your polynomial terms in factor variable notation, i.e.
-c.x##c.x-, see -help fvvarlist-. Below is an example:
*------------------ begin example ------------------
sysuse nlsw88, clear
gen byte marst = !never_married + married ///
if !missing(never_married, married)
label variable marst "marital status"
label define marst 0 "never married" ///
1 "divorced or widowed" ///
2 "married"
label value marst marst
gen byte black = race == 2 if race < 3
label variable black "race"
label define black 0 "white" ///
1 "black"
label value black black
glm wage c.ttl_exp##c.ttl_exp union grade black i.marst, ///
link(log) vce(robust) eform
margins , at(ttl_exp=(.12 .5 1/28))
marginsplot, recastci(rarea) ciopts(astyle(ci)) ///
plotopt(msymbol(i))
*------------------- end example -------------------
(For more on examples I sent to the Statalist see:
http://www.maartenbuis.nl/example_faq )
Also see: <http://www.maartenbuis.nl/wp/inter_quadr/inter_quadr.html>
Hope this helps,
Maarten
---------------------------------
Maarten L. Buis
WZB
Reichpietschufer 50
10785 Berlin
Germany
http://www.maartenbuis.nl
---------------------------------
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