very interesting research Martin!
On Tue, Dec 8, 2009 at 12:28 PM, Martin Weiss <[email protected]> wrote:
>
> <>
>
>
> 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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>
>
> *
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> * http://www.ats.ucla.edu/stat/stata/
>
*
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