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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 18:02:28 +0200

You don't have to do anything about the overlapping. It just means
that the standard errors are biased, as I said.

Yes, oaxaca can be used with heckman. Read the helpfile.

Bootstrap examples are also given in the helpfile.
ben

On 6/28/07, [email protected] <[email protected]> wrote:
Thanks Ben, just others few questions:
Can I consider the correction with Heckman? is it the same to make the
  bootstrap?Is there a routine with bootstrap for oaxaca?
and What's I do with the promblem about overlapping ?
thank you very much.
Best,


Quoting Ben Jann <[email protected]>:

> 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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