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
>>>>
>> ------------------------------------------------------------------------------
>>>>
>>>>
>>>>
>>>> *
>>>> * 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/
>>>>
>>> *
>>> * For searches and help try:
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>>> * http://www.stata.com/support/statalist/faq
>>> * http://www.ats.ucla.edu/stat/stata/
>>
>>
>>
>>
>> *
>> * For searches and help try:
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>> * http://www.stata.com/support/statalist/faq
>> * http://www.ats.ucla.edu/stat/stata/
>>
> *
> * For searches and help try:
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> * http://www.stata.com/support/statalist/faq
> * http://www.ats.ucla.edu/stat/stata/
*
* For searches and help try:
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* http://www.ats.ucla.edu/stat/stata/
*
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