Re: st: can I get standardized coefficients by standardize variables first?

["Martin Weiss" <martin.weiss1@gmx.de>]

<>
"What's stopping you from doing what you need you to do in a spreadsheet 
package?"

Could you explain what your advice is for Mandy? What could a spreadsheet 
add to the solution for her problem?


HTH
Martin
_______________________
----- Original Message ----- 
From: "Clive Nicholas" <clivelists@googlemail.com>
To: <statalist@hsphsun2.harvard.edu>
Sent: Tuesday, March 03, 2009 9:19 PM
Subject: Re: st: can I get standardized coefficients by standardize 
variables first?


> Mandy Fu:
>
> > I'm running some panal data. So the commands I 'll use are something
> > like -xtreg , fe-, or -xtreg,re-. Since the beta coeffients
> > (standardized coefficients) are not an option for xtreg command, I
> > tried to standardize all the variables in the whole data set first
> > and then use the panel data methods on the standardized variables:
> > -------------
> > .local var y x1 x2 x3 x4
> > .egen new_`var'=std(`var')
> > .xtreg `var',fe
> > ---------------
> > But the results are different from using the beta coefficients got
> > from an OLS regression adding dummy variables to indicate the group
> > variable i for the panel data.
> > -----------------------------------------
> > **dummy1,dummy2,..dummyn are the dummy vriables based on group i.
> > .reg y x1 x2 x3 x4 dummy*,b
> > -----------------------------------------
> > Could someone give me some hints why the results from these two ways
> > are different? Is it a correct way to get beta coefficents by
> > standardized variables first and then use the regular commands?
>
> What's stopping you from doing what you need you to do in a spreadsheet 
> package?
>
> --
> Clive Nicholas
>
> [Please DO NOT mail me personally here, but at
> <clivenicholas@hotmail.com>. Please respond to contributions I make in
> a list thread here. Thanks!]
>
> "My colleagues in the social sciences talk a great deal about
> methodology. I prefer to call it style." -- Freeman J. Dyson.
>
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