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AW: Fwd: st: standard deviation gain calculation with Stata


From   "Martin Weiss" <[email protected]>
To   <[email protected]>
Subject   AW: Fwd: st: standard deviation gain calculation with Stata
Date   Tue, 8 Dec 2009 18:28:48 +0100

<> 


Well, as I am in the business of researching Statalist interactions (think
http://www.stata.com/meeting/uk09/uk09_weiss.pdf), it is interesting that
the same post generated (a) 0 (b) 3 replies, with the only difference
between them being the day when they were posted. My explanations for this
phenomenon are still hazy, though...



HTH
Martin


-----Ursprüngliche Nachricht-----
Von: [email protected]
[mailto:[email protected]] Im Auftrag von Nirina F
Gesendet: Dienstag, 8. Dezember 2009 17:50
An: [email protected]
Betreff: Re: Fwd: st: standard deviation gain calculation with Stata

Marteen's response did the trick! Thank you very much.
Martin, I will try to be brief and clear in the future.
Many thanks again!

On Tue, Dec 8, 2009 at 11:32 AM, Richard Williams
<[email protected]> wrote:
> At 11:01 AM 12/8/2009, Nirina F wrote:
>>
>> Hello All,
>> I would like to know what is the magnitude of standard deviation gain
>> in years of schooling from residence in metro area from the following
>> example.
>
> The -listcoef- command, which is part of Long & Freese's -spost9- package,
> is handy for such things.  You want the bStdY column.
>
> . use "http://fmwww.bc.edu/ec-p/data/hayashi/griliches76.dta";, clear
> (Wages of Very Young Men, Zvi Griliches, J.Pol.Ec. 1976)
>
> . quietly reg  s smsa iq med kww age mrt
>
> . listcoef, std
>
> regress (N=758): Unstandardized and Standardized Estimates
>
>  Observed SD: 2.2318284
>  SD of Error: 1.6774436
>
>
----------------------------------------------------------------------------
---
>           s |      b         t     P>|t|    bStdX    bStdY   bStdXY
>  SDofX
>
-------------+--------------------------------------------------------------
---
>        smsa |   0.05699    0.420   0.675   0.0260   0.0255   0.0117
> 0.4566
>          iq |   0.06140   12.553   0.000   0.8362   0.0275   0.3747
>  13.6187
>         med |   0.15430    6.633   0.000   0.4230   0.0691   0.1895
> 2.7411
>         kww |   0.02252    2.270   0.024   0.1644   0.0101   0.0737
> 7.3022
>         age |   0.27255   10.957   0.000   0.8127   0.1221   0.3641
> 2.9818
>         mrt |  -0.34676   -2.509   0.012  -0.1734  -0.1554  -0.0777
> 0.5001
>
----------------------------------------------------------------------------
---
>
>
>
> -------------------------------------------
> Richard Williams, Notre Dame Dept of Sociology
> OFFICE: (574)631-6668, (574)631-6463
> HOME:   (574)289-5227
> EMAIL:  [email protected]
> WWW:    http://www.nd.edu/~rwilliam
>
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>

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