<>
Explanation: These results are thrown up by -nlcom- which -sheafcoef-
apparently calls internally. An oddity about the command is that is requires
users to provide the "_b[]" notation which other commands in the same area,
like -lincom-, do not require. The handbook [R] clearly says as much on page
1202, but if another command calls -nlcom-, this issue may not be as
apparent to end users...
HTH
Martin
-----Ursprüngliche Nachricht-----
Von: [email protected]
[mailto:[email protected]] Im Auftrag von Martin Weiss
Gesendet: Montag, 7. September 2009 15:05
An: [email protected]
Betreff: AW: RE: st: regression using dummy variables
<>
You have to say
*************
test _b[p1] = _b[p2]
*************
to make this work...
HTH
Martin
-----Ursprüngliche Nachricht-----
Von: [email protected]
[mailto:[email protected]] Im Auftrag von [email protected]
Gesendet: Montag, 7. September 2009 15:02
An: statalist
Betreff: Re: RE: st: regression using dummy variables
Dear Maarten,
I knew -sheafcoef- from your posting, thank you!
I followed what you typed. However, an error message "p1 not found r(111)"
was caused.
For example,
sysuse nlsw88, clear
recode occupation (11/12=4) ///
(9/10=13)
gen ln_w = ln(wage)
xi: reg ln_w i.occupation married never_married
sheafcoef, latent( _I* ; married never_married) post
test p1=p2
What is wrong with my typing?
Thank you for any help.
Best regards,
Rose.
----- Original Message -----
From: Maarten buis <[email protected]>
To: stata list <[email protected]>
Subject: RE: st: regression using dummy variables
Date: 2009-9-4 00:25:07
--- Amy Jennings wrote:
> I have run the sheafcoef command - can I just check that the
> values I need are p1, p2 etc and these can be interpreted in
> the same way as a standardised beta coefficient?
Yes. You can also specify the -post- option and actually test
whether these two coefficients are the same using the -test-
command. So something like:
sheafcoef, ///
latent( _Ihighested_2 _Ihighested_3 _Ihighested_4 ; ///
_IMothers_B_2 _IMothers_B_3 ) ///
post
test p1 = p2
Hope this helps,
Maarten
--------------------------
Maarten L. Buis
Institut fuer Soziologie
Universitaet Tuebingen
Wilhelmstrasse 36
72074 Tuebingen
Germany
http://www.maartenbuis.nl
--------------------------
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