Good question, Wei.
The key thing to remember for Question 2 part C (1)-(3) is that you should reuse the same
values of betahat over and over again. That is: You fit the model once in 2(b). This
gives you point estimates for hat{beta} and hat{Sigma}. Now, use these point estimates
and simulate tilde{beta} from the multivariate normal distribution. For each subpart in
(C), re-use the tilde{beta} with different hypothetical X (e.g., for each value in the
ADAACA range you select).
It doesn't matter whether you use logistic regression or probit regression to get the
point estimates hat{beta} and hat{Sigma}.
Hope this helps!
Olivia
----- Original Message -----
From: weiha
To: olau(a)fas.harvard.edu
Sent: Thursday, December 02, 2004 12:39 AM
Subject: first different for probit
Olivia,
Part (2) of part (c) in the second homework question, we are asked to draw a graph
similar to the one in lecture notes(the one on page 27). Right?
But I have one question: the second step Gary said is to run logistic regression. Does
that mean we need to run separate regression for each value of ADAACA(seems weird) or run
regression once and get the betahat?
Sincerely,
Wei Ha
PhD Candidate in Public Policy
Harvard University
Fax: 1-801-605-1455
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