Re: st: Quai Maximum likelihood and multipul imputation

[Nick Cox <njcoxstata@gmail.com>]

I will peel off (1). Given a variable name and nothing else, -display-
will always display the first value only. -display- is geared to
producing single lines of output (there are exceptions to that not
pertinent to your code), so it would typically only display an entire
variable if called in a loop. But if you want to see more or even all
of the values, use -list-.

Nick

On Mon, Jan 21, 2013 at 6:16 PM, yoel ben or <yoelbenor@gmail.com> wrote:
> Dear Stata users,
>
> I use Stata 11. The Data which i am working on has multiple imputation
> Data. I wrote a program using -Ml model-  which maximize a
> quasi-maximum equation.
>
> I am having two problems:
>
> 1. I added a -display- option to see some of the calculations , and when
> you run the program it seems like the program is using only the first
> observation in the data while maximizing the equation.  when displaying the
> calculation (p1, p2, p3) is always equal to (0, 0, 0) - the first
> observation in the data.  you can see the program i wrote bellow.
>
> 2. Because the data is imputed I tried to use the -mi estimate, cmdok: -,
> but I keep getting an error.
>
> If I put the -mi estimate, cmdok:-  before  -ml maximize-   I get the error:
>
> "you must issue -ml model- first
>
> an error occurred when mi estimate executed ml on m=2"
>
> If I put  -mi estimate, cmdok:- before -ml model-  I get the error:
>
> "macro e(cmd) is not set
>
> matrix e(b) is not set
>
> matrix e(V) is not set"
>
> I will be more then grateful if you can explain to me what am I doing wrong?
> Best,
> Yoel Ben-Or
>
> The Program:
>
> program yoel
>
> args lnf theta1 sigma
>
> tempvar g1 g2 g3
>
> local p1 $ML_y1
>
> local p2 $ML_y2
>
> local p3 $ML_y3
>
> scalar  bb=ln(50000+(50000^2+1)^0.5)
>
> scalar  cc=ln(150000+(150000^2+1)^0.5)
>
> generate double `g1'=normal((bb-`theta1')/`sigma')-normal((0-`theta1')/`sigma')
>
> generate double `g2'=normal((cc-`theta1')/`sigma')-normal((bb-`theta1')/`sigma')
>
> generate double `g3'=1-normal((cc-`theta1')/`sigma')
>
> display as result `sigma',`theta1', "(",`g1', `g2' ,`g3',")",
> "(",`p1',`p2', `p3',")"
>
> quietly replace
> `lnf'=`p1'*ln(`g1')+(1-`p1')*ln(1-`g1')+`p2'*ln(`g2')+(1-`p2')*ln(1-`g2')+`p3'*ln(`g3')+(1-`p3')*ln(1-`g3')
>
> end
>
> ml model lf yoel (p1 p2 p3 = $xlist)  /sigma
>
> ml search
>
> ml maximize
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