Re: st: RE: psmatch2 and matching within the metropolitan area

[Hui-shien Tsao <ht7651@gmail.com>]

Thank you for your valuable suggestions, but I am a beginner user of 
Stata.  Could you please point me to the right direction where I can 
find sample syntax to do what you describe?  Thanks again!

Hui-shien

Millimet, Daniel wrote:

> You should write a short do file where you keep one metro area at a
> time, do psmatch2, save the outcomes and the generated counterfactual,
> compute the overall ATT/ATE/ATU by hand as the mean difference once you
> have looped over all metro area, and then finally bootstrap the standard
> error(s).
>
> Dann
>
> ****************************************************
> Daniel L. Millimet, Associate Professor
> Department of Economics
> Box 0496
> SMU
> Dallas, TX USA
> phone: 214.768.3269
> fax: 214.768.1821
> web: http://faculty.smu.edu/millimet
> ****************************************************
>
> -----Original Message-----
> From: owner-statalist@hsphsun2.harvard.edu
> [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Hui-shien
> Tsao
> Sent: Friday, April 07, 2006 11:41 AM
> To: statalist@hsphsun2.harvard.edu
> Subject: st: psmatch2 and matching within the metropolitan area
>
> Hi all ---
>
>      I am using psmatch2 to conduct propensity score matching.  My data 
> is a pool of cases from four metropolitan areas.  I would like to match 
> the treated tracts to the untreated tracts within the same metropolitan 
> area.  I have tried to create dummy variables to control for 
> metropolitan areas.  However, some of the matches still pick tracts from
>
> a different metropolitan area.  Is there any way I can match within the 
> same metropolitan area?  Thank you for your help in advance.
>
> Hui-shien
>
> *****
> Here is my syntax:
>
> gen random=uniform()
> sort random
> psmatch2 treat metro1 metro2 metro3 var1 var2 var3 var4, logit 
> neighbor(1) common trim(3)
>
> A simplified data structure:
>
> id	metro	treat	Var1	Var2	Var3
> 1	1	1	1	4	4
> 2	1	0	2	1	3
> 3	1	0	3	1	1
> 4	1	0	3	5	2
> 5	1	1	2	3	5
> 6	2	0	1	1	3
> 7	2	0	1	2	8
> 8	2	0	2	5	6
> 9	2	0	3	3	3
> 10	2	1	3	7	1
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