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RE: st: saving estimated parameters with -parmby-
From
Schöler, Lisa <[email protected]>
To
"[email protected]" <[email protected]>
Subject
RE: st: saving estimated parameters with -parmby-
Date
Thu, 2 Feb 2012 18:51:29 +0000
It works, thank you very much
-----Original Message-----
From: [email protected] [mailto:[email protected]] On Behalf Of Roger B. Newson
Sent: Thursday, February 02, 2012 5:56 PM
To: [email protected]
Subject: Re: st: saving estimated parameters with -parmby-
I think the way forward here is to use -reshape- after -parmby-. You should probably drop all results variables you don't want to keep from the -parmby- resultsset and then use -reshape wide-. As in:
reshape wide estimate p, i(group_id) j(parmseq)
Another possibility is to use -statsby- instead of -parmby-.
I hope this helps.
Best wishes
Roger
Roger B Newson BSc MSc DPhil
Lecturer in Medical Statistics
Respiratory Epidemiology and Public Health Group National Heart and Lung Institute Imperial College London Royal Brompton Campus Room 33, Emmanuel Kaye Building 1B Manresa Road London SW3 6LR UNITED KINGDOM
Tel: +44 (0)20 7352 8121 ext 3381
Fax: +44 (0)20 7351 8322
Email: [email protected]
Web page: http://www.imperial.ac.uk/nhli/r.newson/
Departmental Web page:
http://www1.imperial.ac.uk/medicine/about/divisions/nhli/respiration/popgenetics/reph/
Opinions expressed are those of the author, not of the institution.
On 02/02/2012 16:37, Schöler, Lisa wrote:
> Dear Statalist,
>
> I have a dataset with many firms and many observations of a firm. Now I need to run a nonlinear least-squares estimation.
>
> After running the nonlinear least-squares estimation, I would like to save the estimated parameters. So I found suggestions for parmest, in my case parmby because I have different group_ids.
>
> But what I need is that Stata saves each estimate (i.e., b0-b3) in a
> row, for example
>
> group_id adopters var2 ... t b0 b1 b2 b3
> 1 500 . . 1 0.3 5 88 1
> 1 501 2 0.3 5 88 1
> 1 502 3 0.3 5 88 1
> 1 503 4 0.3 5 88 1
> 1 504 5 0.3 5 88 1
> 1 505 6 0.3 5 88 1
> 2 100 1 5 4 0.2 0.8
> 2 106 2 5 4 0.2 0.8
> 2 108 3 5 4 0.2 0.8
> 3 250 1 1 0.5 0.8 5
> 3 297 2 1 0.5 0.8 5
> 3 300 3 1 0.5 0.8 5
>
>
> This is the command I use (Stata 11)
>
> . parmby "nl (adopters=
> {b0}/(1+exp({-b1}-{b2}*t))+{b3}*t^2)",by(group_id)
> saving(nl_coefficients,replace)
>
> This works but the estimated parameters are saved like this
>
> group_id parmseq estimate
> 1 b0 238421.79
> 1 -b1 730.78458
> 1 b2 21.785424
> 1 b3 3.0373359
> 2 b0 8437.5189
> 2 -b1 41.075473
> 2 b2 6.0825979
> 2 b3 -.24629756
>
> Is there an option that I am missing?
>
> Thank you
> Lisa
>
> Lisa Schöler
> Professur für BWL, insb. Electronic Commerce Goethe-Universität
> Frankfurt Grüneburgplatz 1
> 60629 Frankfurt a.M.
>
> Phone: ++49 69 798 34632
> Fax: ++49 69 798 35001
> Email: [email protected]
> URL: www.ecommerce.wiwi.uni-frankfurt.de
>
> _________________________________
> Get serious about better marketing decisions - apply now!
> http://www.goethe-master.de
>
>
>
> Lisa Schöler
> Professur für BWL, insb. Electronic Commerce Goethe-Universität
> Frankfurt Grüneburgplatz 1
> 60629 Frankfurt a.M.
>
> Phone: ++49 69 798 34632
> Fax: ++49 69 798 35001
> Email: [email protected]
> URL: www.ecommerce.wiwi.uni-frankfurt.de
>
> _________________________________
> Get serious about better marketing decisions - apply now!
> http://www.goethe-master.de
>
>
>
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