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st: Maximum Likelihood problem

From   Ben Spong <[email protected]>
To   [email protected]
Subject   st: Maximum Likelihood problem
Date   Sat, 8 Dec 2007 15:02:39 +0000

Hi everyone,

I'm trying to write a maximum likelihood function for a given model.
The specification is the following:

- If y<0: LN[1/SQRT(2*PI()*Sigma_hat^2)]-[(1/(2*Sigma_hat^2)]*(Y+Alpha_1-Beta_hat*X)^2

- If y>0: LN[1/SQRT(2*PI()*Sigma_hat^2)]-[1/(2*Sigma_hat^2)]*(Y+Alpha_2-Beta_hat*X)^2

- If y=0: LN[NORMSDIST((Alpha_2-Beta_hat*X)/Sigma_hat)-NORMSDIST((Alpha_1-Beta_hat*X)/Sigma_hat)]

Alpha_1 must be <=0, Alpha_2 must be >=0, and Beta_hat>=0. The
objective is to obtain, mainly, Alpha_1 and Alpha_2.

I was able to program this in Excel (using solver), but I can't do
this in Stata. The program I've written in Stata is the following
(which, for obvious reasons, isn't working):

program mymlprog
	version 10.0
	args y x

	quietly replace `y' = ln(1/sqrt(2*_pi*Sigma_hat^2))-
((1/(2*Sigma_hat^2))*(`y'+Alpha_1-Beta_hat*`x')^2 if $ML_y1 <0

	quietly replace `y' =
if $ML_y1 == 0

	quietly replace `y' =
if $ML_y1 > 0


My problems are:

- How can I use Sigma_hat as a component of my model;
- How do I get Alpha_1 and Alpha_2.

If anyone has an idea at least of how to start, I would be really grateful!



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