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Re: st: bootstraping two stages together
Dear Professor Austin,
Did i understand you well that i should do the following: Run the first
stage
y2 = b0+b1*x1+b2*x2+b3*z1 (z1 is an excluded instrument for y2)
then take the residuals of this equation - v2(hat)
Finally, I should estimate
y1 = a0+a1*y2+a2*x1+a3*x2+a4*v2(hat) (where y1 obtain the values
0,1,2)
If i am right, should i then also bootstrapt the standard errors.
Best,
Danny
----- Original Message -----
From: "Austin Nichols" <[email protected]>
To: <[email protected]>
Sent: Wednesday, June 18, 2008 6:06 PM
Subject: Re: st: bootstraping two stages together
Danny Cohen-Zada <[email protected]>:
You have more to worry about than correcting SEs--that does not sound
like a consistent estimator; see e.g. pp 12-13 of
http://www.nber.org/family/WNE/lect_6_controlfuncs.pdf
viz.
"Plugging in fitted values for y2 only works in the case where the
model is linear in y2"
On Wed, Jun 18, 2008 at 12:47 PM, Danny Cohen-Zada <[email protected]>
wrote:
Dear stata members
I have a multinomial logit regression in which one of the covariates is
endogenous.
More specifically, the model is:
1) y1 = a0+a1*y2+a2*x1+a3*x2 (where y1 obtain the values
0,1,2)
2) y2 = b0+b1*x1+b2*x2+b3*z1 (z1 is an excluded instrument for y2)
To run this model, i first estimate equation 2 and obtain expected y2 and
then plug it in equation 1 (which is a multinomial logit regression). In
this case, i know that the standard error of the estimated a1 coefficient
is
not correct. I also know that i must bootstrap the two stages together
but I
do not know how to do it.
I will be thankful to anybody that can guide me in this issue.
Danny
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