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st: RE: Re: RE: calculating gender wage ratioes for different levels of education


From   "Nick Cox" <n.j.cox@durham.ac.uk>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: RE: Re: RE: calculating gender wage ratioes for different levels of education
Date   Thu, 7 Sep 2006 17:26:03 +0100

egen mean = 

Nick 
n.j.cox@durham.ac.uk 

> -----Original Message-----
> From: owner-statalist@hsphsun2.harvard.edu
> [mailto:owner-statalist@hsphsun2.harvard.edu]On Behalf Of Christer
> Thrane
> Sent: 07 September 2006 16:22
> To: statalist@hsphsun2.harvard.edu
> Subject: st: Re: RE: calculating gender wage ratioes for different
> levels of education
> 
> 
> Okay, a second try, then.
> 
> Using the auto data, I wish to calculate the foreign/domestic 
> price ratioes 
> for three different levels of repair record.
> 
>  use c:\data\auto.dta, clear
> (1978 Automobile Data)
> 
> .
> . recode rep 1/3=3
> (rep78: 10 changes made)
> 
> . tab rep
> 
>      Repair |
> Record 1978 |      Freq.     Percent        Cum.
> ------------+-----------------------------------
>           3 |         40       57.97       57.97
>           4 |         18       26.09       84.06
>           5 |         11       15.94      100.00
> ------------+-----------------------------------
>       Total |         69      100.00
> 
> . drop if rep==.
> (5 observations deleted)
> 
> . sort rep
> 
> . by rep: oneway price foreign, t
> 
> --------------------------------------------------------------
> ------------------------------------------------
> -> rep78 = 3
> 
>             |          Summary of Price
>    Car type |        Mean   Std. Dev.       Freq.
> ------------+------------------------------------
>    Domestic |   6,358.405    3,526.92          37
>     Foreign |   4,828.667   1,285.613           3
> ------------+------------------------------------
>       Total |   6,243.675    3,425.43          40
> 
>  rest of output omitted
> --------------------------------------------------------------
> ------------------------------------------------
> -> rep78 = 4
> 
>             |          Summary of Price
>    Car type |        Mean   Std. Dev.       Freq.
> ------------+------------------------------------
>    Domestic |   5,881.556   1,592.019           9
>     Foreign |   6,261.444   1,896.092           9
> ------------+------------------------------------
>       Total |     6,071.5   1,709.608          18
> 
>   rest of output omitted
> --------------------------------------------------------------
> ------------------------------------------------
> -> rep78 = 5
> 
>             |          Summary of Price
>    Car type |        Mean   Std. Dev.       Freq.
> ------------+------------------------------------
>    Domestic |     4,204.5   311.83409           2
>     Foreign |   6,292.667   2,765.629           9
> ------------+------------------------------------
>       Total |       5,913   2,615.763          11
> 
>  rest of output omitted
> 
> .
> end of do-file
> 
> 
> ... and here I must stop the do-file and obtain the results 
> above in the 
> following calcualtions:
> 
> . dis 6358/4828
> 1.3169014
> 
> . dis 5881/6261
> .93930682
> 
> . dis 4204/6292
> .66815003
> 
> Question: Is it possible to do this in one operation?
> 
> BR
> 
> Christer
> 
> 
> 
> ----- Original Message ----- 
> From: "Nick Cox" <n.j.cox@durham.ac.uk>
> To: <statalist@hsphsun2.harvard.edu>
> Sent: Thursday, September 07, 2006 4:40 PM
> Subject: st: RE: calculating gender wage ratioes for 
> different levels of 
> education
> 
> 
> > Sorry, but what results are you talking about?
> >
> > What are 70,000 110,000 etc.?
> >
> > Also, you should be able to translate this easily
> > into an example with a standard dataset accessible
> > to all Stata users.
> >
> > Nick
> > n.j.cox@durham.ac.uk
> >
> > Christer Thrane
> >>
> >> I wish to calculate gender wage ratioes for different levels
> >> of education,
> >> hopefully in a less cumbersomeway than below
> >>
> >> sort educ
> >> by educ: oneway wage gender, t
> >>
> >> and then for each level of educ type:
> >>
> >> dis 70,000/110,000
> >> dis 85,000/140,000
> >>
> >> and so on...
> >>
> >> The main problem is that I have to get the results from the
> >> one-way anovas
> >> first, and then use the results from these in the later -dis-
> >> calculations.
> >> Is there a simple way to do this in one operation so that I
> >> can run the
> >> whole do-file without stopping?
> >
> > *
> > *   For searches and help try:
> > *   http://www.stata.com/support/faqs/res/findit.html
> > *   http://www.stata.com/support/statalist/faq
> > *   http://www.ats.ucla.edu/stat/stata/
> >
> >
> > 
> 
> 
> *
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> 

*
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