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Re: st: User-defined MLE problem: How would you solve this?
At 11:32 AM 6/18/2008, [email protected] wrote:
Below you find the .ado file and the command I used for this
problem. However
I know they are not correct, since my setup estimates 2 x-coefficients
defined by the mu1 and mu2 equations, but I only want to
estimate one for the
dependent variable j: b_j. What to do such that the intercepts
in mu1 and mu2
are different, but b_j are identical?
program LDV
version 9.2
args lnf mu1 mu2 sigma
quietly replace `lnf'=ln(1/(2*_pi*(`sigma'^2)))-(1
/(2*(`sigma'^2))*($ML_y1-`mu1'))^2 if $ML_y1<0
quietly replace `lnf'=ln(1/(2*_pi*(`sigma'^2)))-(1
/(2*(`sigma'^2))*($ML_y1-`mu2'))^2 if $ML_y1>0
quietly replace
`lnf'=ln(normalden(-`mu2',0,`sigma')-normalden(-`mu1',0,`sigma')) if
$ML_y1==0
end
Stata command: ml model lf LDV (mu1: y=x) (mu2: y=x) (sigma:)
Perhaps the constraints option would do it. Try
constraint 1 [#1]x = [#2]x
ml model lf LDV (mu1: y=x) (mu2: y=x) (sigma:), constraint(1)
-------------------------------------------
Richard Williams, Notre Dame Dept of Sociology
OFFICE: (574)631-6668, (574)631-6463
HOME: (574)289-5227
EMAIL: [email protected]
WWW: http://www.nd.edu/~rwilliam
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