Re: st: how to convert regression coefficients into variables

[Nick Cox <njcoxstata@gmail.com>]

Possibly something along these lines

forval i = 1/9 {
        tempfile tf
        ...
        parmest  ... saving(`tf')
        local tflist `tflist' "`tf'"
}

dsconcat `tflist'

Each time round the loop `tf' will be different, but you keep track of
them all by putting them in a bag one by one. They don't _have_ to be
numbered.

You can do it this way if you want

forval i = 1/9 {
        tempfile tf`i'
        ...
        parmest  ... saving("`tf`i''")
        local tflist `tflist' "`tf`i''"
}

dsconcat `tflist'

Nick

>
>
> On Wed, Mar 30, 2011 at 9:25 AM, Steve Martin <stephen.martin@york.ac.uk> wrote:
>> Yes, thanks Dimitriy!
>>
>> I've one more query.  Following Roger's example, I'm writing the parameters
>> from successive estimations to tempfiles using: parmest, saving(`"`tf1'"',
>> replace).
>>
>> I would like to use this in conjunction with a forvalues i=1/9 command.  How
>> should I specify `"`tf1'"' if I want to replace the 1 in `"`tf1'"' with i?
>>
>> Steve
>>
>>
>> -----Original Message-----
>> From: owner-statalist@hsphsun2.harvard.edu
>> [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Dimitriy V.
>> Masterov
>> Sent: 29 March 2011 19:31
>> To: statalist@hsphsun2.harvard.edu
>> Subject: Re: st: how to convert regression coefficients into variables
>>
>> Steve,
>>
>> Take a look at Roger Newson's package parmest at ssc.
>>
>> Does that accomplish what you want?
>>
>> DVM
>>
>> On Tue, Mar 29, 2011 at 2:26 PM, Steve Martin <stephen.martin@york.ac.uk>
>> wrote:
>>> I am using -cnsreg- to estimate a constrained regression model in Stata
>> 11.
>>>
>>>
>>> I am interested in how the coefficient (call this b2) on one particular
>>> regressor changes as I change the constraints (call the values of these b3
>>> and b4) on two of the other regressors.
>>>
>>> At the moment the results for each regression are written to a
>> spreadsheet.
>>>
>>> However, it would be useful if I could save the values of b2, b3 and b4
>> from
>>> each regression (eg by writing to a file) with a view to plotting b2, b3
>> and
>>> b4 from the 30 or so regressions I estimate.
>>> Is this possible?

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