Dear all,
My question is about frontier's conditional mean model. I appreciate the
advice from Weihua. I also notice from the manual (pp423 of Frontier) that
"You can, in fact, apply frontier's conditional mean model to panel data".
My question is that whether I can obtain the "within" effects with this
method with my panel data. It is like using Xtreg, where it fits
fixed-effects (within) with panel data. We might just add firm dummies
besides the exogenous variables or demean the exogenous variables. However,
I have almost 10,000 firms, which I am afraid won't work with my intercooled
Stata.
Best,
Xun
-----Original Message-----
From: Weihua Guan [mailto:[email protected]]
Sent: Thursday, July 10, 2003 12:25 PM
To: [email protected]
Subject: st: Re: RE: Re: Initial values not feasible and -ufrom()- option.
--"Wu, Xun" <[email protected]> wrote,
> Thanks for Scott's information and David's method, I solve the initial
value
> problem in Frontier with the -from()- option .
>
> http://www.stata.com/statalist/archive/2003-05/msg00650.html
>
> However, when I was trying to fit a truncated-normal model, I still have a
> problem with option -ufrom()-.
>
> I follow David Drucker's method to feed my own initial values:
> 1. Run OLS
> 2. matrix b0 = e(b), ln(e(rmse)^2), .1
> 3. I add option to the frontier command: distribution(tnormal) ufrom(b0,
> copy)
>
> However, I always got a message "ufrom() must specify a matrix".
>
> Is there anything different with -ufrom()- option?
The -ufrom()- option is a little different from the regular -from()-.
Unlike
-from()-, -ufrom()- only takes a matrix. The syntax is like:
. frontier ..., ufrom(matname) ...
Xun should not specify ", copy" in his command.
Weihua Guan <[email protected]>
Stata Corp.
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