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st: ML Max Non-Linear

From   Steven Archambault <[email protected]>
To   [email protected]
Subject   st: ML Max Non-Linear
Date   Sun, 30 Jan 2011 20:36:00 -0700

Hi all,

I have a clarification question on some non-linear programming, which
includes defining my log-likelihood function as follows:

-quietly gen double `sigma'=exp(`eta')-
-quietly replace

I am ensuring sigma is positive.

The results show eta as not significant (see below). I assume this is
not a big deal, just says that the null that eta is not equal to 0.
Here is the question In this case, do I just assume sigma is 1?

Coef.                            Std. Err.                        z
 P>|z|     [95% Conf. Interval]

eta          |  _cons |   1.165659   1.636503     0.71   0.476
-2.041827    4.373146

Thanks for your help on this one.

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