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Re: st: Matching
From
Sophie Jensen <[email protected]>
To
[email protected]
Subject
Re: st: Matching
Date
Mon, 4 Oct 2010 23:51:54 +0100
Btw, by neigherst neighbour we mean the most compositionally similar - right?
On Mon, Oct 4, 2010 at 11:51 PM, Sophie Jensen <[email protected]> wrote:
> how do you ensure random sorting... just sort on some varibale?
> How do you do area matching... radius matching... do you know
>
> Thanks
>
> S
> On Mon, Oct 4, 2010 at 11:50 PM, Sophie Jensen <[email protected]> wrote:
>> Here's what I've done... how would you interpret that:
>>
>> . psmatch2 treatment white fsm male if year>2006, n(1)
>>
>> Probit regression Number of obs = 15471
>> LR chi2(4) = 322.40
>> Prob > chi2 = 0.0000
>> Log likelihood = -678.85535 Pseudo R2 = 0.1919
>>
>> ------------------------------------------------------------------------------
>> treatment | Coef. Std. Err. z P>|z| [95% Conf. Interval]
>> -------------+----------------------------------------------------------------
>> ewhite | .172414 .1514341 1.14 0.255 -.1243915 .4692194
>> fsm | 1.650061 .2705032 6.10 0.000 1.119885 2.180238
>> male | .0000787 .0000105 7.50 0.000 .0000581 .0000992
>> _cons | .4350676 .8062152 0.54 0.589 -1.145085 2.01522
>> ------------------------------------------------------------------------------
>>
>>
>> pstest fsm eth_white ks2mn outwage_male
>>
>> ----------------------------------------------------------------------------
>> | Mean %reduct | t-test
>> Variable Sample | Treated Control %bias |bias| | t p>|t|
>> ------------------------+----------------------------------+----------------
>> fsm Unmatched | .32883 .13543 136.0 | 18.34 0.000
>> Matched | .32883 .328 0.6 99.6 | 0.04 0.968
>> | |
>> white Unmatched | .58394 .829 -89.1 | -12.70 0.000
>> Matched | .58394 .54751 13.2 85.1 | 1.00 0.318
>> | |
>> male Unmatched | 28221 24729 92.7 | 11.82 0.000
>> Matched | 28221 28606 -10.2 89.0 | -0.87 0.387
>> | |
>>
>>
>>
>> On Mon, Oct 4, 2010 at 11:35 PM, Santosh Kumar <[email protected]> wrote:
>>> This is an example of matching with 3 neighbors.
>>>
>>> psmatch2 improved, pscore(pscore) outcome(diarr) common caliper(.001)
>>> neighbor(3)
>>> There are observations with identical propensity score values.
>>> The sort order of the data could affect your results.
>>> Make sure that the sort order is random before calling psmatch2.
>>> (4005 missing values generated)
>>>
>>> Variable Sample Treated Controls Difference S.E. T-stat
>>>
>>> diarr Unmatched .104890901 .125810627 -.020919727 .001373497 -15.23
>>> ATT .104893374 .110885821 -.005992448 .007151216 -0.84
>>>
>>> Note: S.E. for ATT does not take into account that the propensity
>>> score is estimated.
>>>
>>> psmatch2: psmatch2: Common
>>> Treatment support
>>> assignment Off suppo On suppor Total
>>>
>>> Untreated 0 159,136 159,136
>>> Treated 2 84,829 84,831
>>>
>>> Total 2 243,965 243,967
>>>
>>> On Mon, Oct 4, 2010 at 6:28 PM, Sophie Jensen <[email protected]> wrote:
>>>> Could someone perhaps explain the process of this kind of matching please.
>>>>
>>>> Thanks
>>>>
>>>> S
>>>>
>>>> On Mon, Oct 4, 2010 at 11:26 PM, Sophie Jensen <[email protected]> wrote:
>>>>> Dear statlisters,
>>>>>
>>>>> What is the difference between a 1-1 to match and the nearest
>>>>> neighbour match in stata. I would like to do a nearest neighbour
>>>>> match, a 1-1 and then specifiy a distance to match on.
>>>>>
>>>>> Thanks
>>>>>
>>>>> S
>>>>> *
>>>>> * For searches and help try:
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>>>>> * http://www.stata.com/support/statalist/faq
>>>>> * http://www.ats.ucla.edu/stat/stata/
>>>>>
>>>>
>>>> *
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>>>>
>>>
>>>
>>>
>>> --
>>>
>>> Santosh
>>>
>>> *
>>> * For searches and help try:
>>> * http://www.stata.com/help.cgi?search
>>> * http://www.stata.com/support/statalist/faq
>>> * http://www.ats.ucla.edu/stat/stata/
>>>
>>
>
*
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