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Re: st: RE: Mata optimize: does moptimize_result_coefs(M) really work? CORRECTION


From   Tirthankar Chakravarty <[email protected]>
To   [email protected]
Subject   Re: st: RE: Mata optimize: does moptimize_result_coefs(M) really work? CORRECTION
Date   Thu, 8 Jul 2010 03:39:07 +0530

Sorry, James. Jeremy Piger is a different economist.

T

2010/7/8 Tirthankar Chakravarty <[email protected]>:
> A reproducible example of what Jeremy is talking about can be had by
> taking the example from the [M], pg. 616:
> ****************************************
> clear*
> sysuse auto, clear
> mata:
> // mata drop linregeval()
> function linregeval(transmorphic M, real rowvector b, real colvector lnf)
> {
> real colvector p1, p2
> real colvector y1
>
> p1 = moptimize_util_xb(M, b, 1)
> p2 = moptimize_util_xb(M, b, 2)
> y1 = moptimize_util_depvar(M, 1)
>
> lnf = ln(normalden(y1:-p1, 0, sqrt(p2)))
> }
> M = moptimize_init()
> moptimize_init_evaluator(M, &linregeval())
> moptimize_init_depvar(M, 1, "mpg")
> moptimize_init_eq_indepvars(M, 1, "weight foreign")
> moptimize_init_eq_indepvars(M, 2, "")
> moptimize(M)
> moptimize_result_coefs(M)  // chokes here.
> moptimize_result_eq_coefs(M)
> end
> ****************************************
> There is a discrepancy here between the pdf manual and -mhelp
> moptimize_result_coefs-. Whereas the latter includes references to
> both -moptimize_result_coefs()- and -moptimize_result_eq_coefs()-, in
> the pdf help, the functionality of -moptimize_result_eq_coefs()- is
> subsumed into -moptimize_result_coefs()-, and only the latter finds
> mention. And yet in the example above, it is
> -moptimize_result_eq_coefs()- that actually functions. I believe
> things are in a state of flux here.
>
> T
>
>
> 2010/7/8 Prieger, James <[email protected]>:
>>  Sorry, the question should have read:
>>
>> The Mata manual (M-5, page 605) says that the command
>>
>> moptimize_result_coefs(M)
>>
>> can be used to post results after optimization. However,
>> 1) it doesn't seem to work, and
>> 2) the Stata Do-file Editor doesn't seem to think it is a command,
>> either (i.e., the Editor doesn't put it in blue type).
>>
>> Does anyone know if this is an error in the Mata manual?
>> N.b. the closely related command "moptimize_result_eq_coefs(M)" _does_
>> work, so I guess my question is more academic/beta-testing than anything
>> else.
>>
>> James Prieger
>> Associate Professor
>> Pepperdine University School of Public Policy
>>
>> James Prieger
>> Associate Professor
>> Pepperdine University School of Public Policy
>> 24255 Pacific Coast Highway
>> Malibu, CA 90263
>> (310) 506-7150 phone
>> (310) 506-7494 fax
>> office:  SPP 193
>> http://faculty.pepperdine.edu/jprieger/
>> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
>>
>> -----Original Message-----
>> From: [email protected]
>> [mailto:[email protected]] On Behalf Of Prieger,
>> James
>> Sent: Wednesday, July 07, 2010 2:38 PM
>> To: [email protected]
>> Subject: st: Mata optimize: does moptimize_result_coefs(M) really work?
>>
>> The Mata manual (M-5, page 605) says that the command
>>
>> moptimize_result_eq_coefs(M)
>>
>> can be used to post results after optimization. However,
>> 1) it doesn't seem to work, and
>> 2) the Stata Do-file Editor doesn't seem to think it is a command,
>> either (i.e., the Editor doesn't put it in blue type).
>>
>> Does anyone know if this is an error in the Mata manual?
>> N.b. the closely related command "moptimize_result_eq_coefs(M)" _does_
>> work, so I guess my question is more academic/beta-testing than anything
>> else.
>>
>> James Prieger
>> Associate Professor
>> Pepperdine University School of Public Policy
>>
>> *
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>>
>> *
>> *   For searches and help try:
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>>
>
>
>
> --
> To every ω-consistent recursive class κ of formulae there correspond
> recursive class signs r, such that neither v Gen r nor Neg(v Gen r)
> belongs to Flg(κ) (where v is the free variable of r).
>



-- 
To every ω-consistent recursive class κ of formulae there correspond
recursive class signs r, such that neither v Gen r nor Neg(v Gen r)
belongs to Flg(κ) (where v is the free variable of r).

*
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