Remember from a lecture that the sampling distribution of MLE is
N(beta.hat, V(beta.hat)). You want to see whether the confidence interval
derived from this distribution covers the value of your null hypothesis
(typically, 0).
Kosuke
On Mon, 5 May 2003, Stanislav Markus wrote:
The summary() of multinomial logit regression object
does not report
statistical significance of coefficients - how do I extract this
information?
Best,
Stan
****************************
Stanislav Markus
Ph.D. Candidate
Harvard University
Department of Government
e: smarkus(a)fas.harvard.edu
t: 617.513.5407
-----Original Message-----
From: gov2001-l-admin(a)fas.harvard.edu
[mailto:gov2001-l-admin@fas.harvard.edu] On Behalf Of Kosuke Imai
Sent: Monday, May 05, 2003 10:38 AM
To: Phillip Y. Lipscy
Cc: gov2001-l(a)fas.harvard.edu
Subject: Re: [gov2001-l] "car" question
I think that's all you need to do. hccm(lm.object).
Kosuke
On Sun, 4 May 2003, Phillip Y. Lipscy wrote:
So when we use the "car" package, is
hccm() the best/only way to
obtain the
robust standard errors? Or am I missing
something?
Thanks,
Phillip.
-------------------------------------------------
Phillip Y. Lipscy
Perkins Hall Room #129
35 Oxford Street
Cambridge, MA 02138
(617)493-4893 DORM
(617)851-8220 CELL
lipscy(a)fas.harvard.edu
http://www.people.fas.harvard.edu/~lipscy/
First Year Student, Ph.D. Program
Harvard University, FAS, Department of Government
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