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st: margins [,over()] after xtreg-fe not estimable
From
Alessandro Martinello <[email protected]>
To
[email protected]
Subject
st: margins [,over()] after xtreg-fe not estimable
Date
Wed, 19 Mar 2014 15:54:59 +0100
.
Dear all,
When I run -margins- after a FE estimation using -xtreg- the command
shows that the derivatives are now estimable. For reference, I am
using Stata/SE 12.1 for Windows (32-bit) (updated in January 2014).
A very similar question has been posted in
http://www.stata.com/statalist/archive/2011-08/msg01073.html but it
did not seem to get any response.
I include a short simulation code that shows the problem. Basically, I
want to run a polynomial regression, where I suspect that the
polynomial (in x) varies according to a discrete observable (t). In
the example, t is fixed by individuals. I get the same problem if t is
a time-varying, categorical variable and c is continuous but fixed by
individuals instead.
*-----*
/*working example*/
*-----*
clear all
set obs 20
gen id = _n
gen c = rnormal()
gen t=c<0
expand 50
gen x = rnormal()
gen y = 2*x + x^2 + 1 +c +rnormal() if t
replace y = x + 2*x^2 + 1 +c +rnormal() if !t
xtset id
xtreg y c.x##c.x##i.t, fe
margins, dydx(x) over(t) at(x==1)
*-----*
------------------------------------------------------------------------------
| Delta-method
| dy/dx Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
x |
t |
0 | . (not estimable)
1 | . (not estimable)
------------------------------------------------------------------------------
The derivatives here should be equal to 5 and 4 respectively at x=1. I
should be able to identify them because of the variation in the
within-individual-varying variable x - in this simple case, it's easy
to compute them directly from the regression results.
Indeed, I obtain the correct derivatives if I include individual dummies instead
*----*
reg y i.id c.x##c.x##i.t
margins, dydx(x) over(t) at(x==1)
*----*
------------------------------------------------------------------------------
| Delta-method
| dy/dx Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
x |
t |
0 | 4.990517 .0774455 64.44 0.000 4.838727 5.142308
1 | 4.048728 .0852937 47.47 0.000 3.881556 4.215901
------------------------------------------------------------------------------
----
This approach is however not feasible in the more complex model in my
real dataset.
I guess the problem arises because t is dropped in a different way in
-reg- with individual dummies and -xtreg, fe - . Specifying the option
noestimcheck in -margins- delivers the correct estimates, but I am
wary about using it without understanding where the problem comes
from. I hope you will be able to help me with that.
Thanks for your time!
Best,
Alessandro Martinello
Ph.D. Candidate
University of Copenhagen
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