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Re: st: warning: overlapping samples


From   "Ben Jann" <[email protected]>
To   [email protected]
Subject   Re: st: warning: overlapping samples
Date   Thu, 28 Jun 2007 17:30:33 +0200

You can use -oaxaca- in this case, but the standard errors will be
biased because the sample of females and males are not independent.
Use the bootstrap to compute the standard errors.
ben

On 6/28/07, [email protected] <[email protected]> wrote:
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 <[email protected]>:

> 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, [email protected] <[email protected]> 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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