Dear Nicole
I am using the same methodology as yours. I recommend you to see the article
of Marco Caliendo and Sabine Kopeinig, intitulated "Some Practical Guidance
for the Implementation of Propensity Score Matching"
You will need to download these stata commands: pstest, pscore, psmatch2 and
rbounds
The pstest command executes three tests. The first is a verification of bias
reduction before and after matching. The second is a t test of differences
over treatment and control before and after matching. The third is a test of
conjoint significance. This command needs to be executed after psmatch2.
The pscore command executes a conditional test of differences about groups
of propensity scores. This test is more rigorous than pstest and don't need
to be executed after psmatch2
The psmatch2 command offers the average treatment effect on treated (att)
and the average treatment effect (ate) results.
The rbounds command executes a test of significance of effects over
treatment of non-observable variables.
Att,
Guilherme Silva Araújo
-----Mensagem original-----
De: [email protected]
[mailto:[email protected]] Em nome de Nicole Danna
Enviada em: quinta-feira, 23 de abril de 2009 02:09
Para: [email protected]
Assunto: st: Propensity Score Estimation
Hello.
I'm writing a undergraduate economic honors thesis and need help
calculating propensity scores with Stata. I'm looking for step by step
instructions on how to calculate a P score.
Thank you!
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*
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* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
*
* 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/
