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Re: st: Matching


From   Sophie Jensen <[email protected]>
To   [email protected]
Subject   Re: st: Matching
Date   Mon, 4 Oct 2010 23:51:17 +0100

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
>>>> *
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>>>> *   http://www.ats.ucla.edu/stat/stata/
>>>>
>>>
>>> *
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>>>
>>
>>
>>
>> --
>>
>> Santosh
>>
>> *
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>>
>

*
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