Re: st: warning: overlapping samples

[ncdcta00@uniroma2.it]

Thanks Ben, I don't know why? because I want calculate the  
decoposition between husband and wife, so sure I have relation because  
 my dataset is:
wife   husband  wwage hwage
1       1          100  200
I do :
reg wwage xi
est stor w
reghwage xi
est sto h
oaxaca h w


Can I estimate with oaxaca this data set? is it right the procedure?
thanks a lot for your help.



Quoting Ben Jann <ben.jann@gmail.com>:


> It means that some of your females are in the male sample or vice
> versa. Check the -if- qualifiers of your regression commands.
> ben
>
> On 6/28/07, ncdcta00@uniroma2.it <ncdcta00@uniroma2.it> wrote:
> > Dear statalist, I'm doing a oaxaca decomposition and I have this
> > message before the estmation with oaxaca. What is it means?
> > thanks
> > warning: overlapping samples
> > (high estimates: female4; low estimates: male4)
> >
> >                                                  Mean prediction 1   
> > =  2.095566
> >                                                  Mean prediction 2   
> > =  1.939635
> > ------------------------------------------------------------------------------
> >              |      Coef.   Std. Err.      z    P>|z|     [95%   
> > Conf. Interval]
> > -------------+----------------------------------------------------------------
> >   difference |    .155931   .0301257     5.18   0.000     .0968858   
> >    .2149762
> > ------------------------------------------------------------------------------
> >
> > Linear decomposition
> > ------------------------------------------------------------------------------
> >        Total |      Coef.   Std. Err.      z    P>|z|     [95%   
> > Conf. Interval]
> > -------------+----------------------------------------------------------------
> > three-fold   |
> >   endowments |  -.6220027   .2610409    -2.38   0.017    -1.133633   
> >    -.110372
> > coefficients |  -.1470742   .0839665    -1.75   0.080    -.3116456   
> >    .0174971
> >  interaction |   .9250079   .2727451     3.39   0.001     .3904373   
> >    1.459579
> > ------------------------------------------------------------------------------
> >
> >
> >
> > *
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