<>
Ilya should note that -psmatch- seems to have been superseded by -psmatch2-
which she can find via
*************
findit psmatch2
*************
Furthermore, the other "commands" she requested are -auxiliary- variables
created by the old -psmatch-, as seen on page 9 of
http://www.stata.com/meeting/7uk/sianesi.pdf
HTH
Martin
-----Ursprüngliche Nachricht-----
Von: [email protected]
[mailto:[email protected]] Im Auftrag von Carlo Lazzaro
Gesendet: Dienstag, 23. Juni 2009 08:00
An: [email protected]
Cc: 'Ilya María Espino Cruz'
Betreff: st: R: counterfactual model based on propensity score
Dear Statalisters,
I forward to you all Ilya Maria's posting in order to increase her
probabilities to receive a helpful hand.
Kind Regards,
Carlo
-----Messaggio originale-----
Da: Ilya María Espino Cruz [mailto:[email protected]]
Inviato: martedì 23 giugno 2009 4.02
A: Carlo Lazzaro
Oggetto: counterfactual model based on propensity score
>Dear Carlo:
I got the Barbara Sianesi´s paper that you recomended me, but the
mayority of commands of paper I can not use them. I have a Stata Version
9.2 and so when I use the "search" and "help" simply I couldn´t find them.
Some commands: psmatch, _times, _matchdif, _matchedid.
Can you help me to find them?
Thanks
Regards.
Dear Maria,
> besides Martin's very useful reference, there's another .pdf on this topic
> (sorry, but I haven't the exact reference on hand)
>
> Barbara Sianesi. Implementing Propensity Score Matching Estimators with
> STATA.
> Prepared for UK Stata Users Group, VII Meeting, London, May 2001
>
> Kind Regards,
> Carlo
> -----Messaggio originale-----
> Da: [email protected]
> [mailto:[email protected]] Per conto di Ilya
> [iso-8859-1]
> María Espino Cruz
> Inviato: venerdì 19 giugno 2009 7.06
> A: [email protected]
> Oggetto: st: counterfactual model
>
> Dear Stata users:
>
> I am researching about targeting performance of program social. I have a
> Household survey-income to make the calculations, I need to evaluate the
> performance of program social under counterfactual model based of perfect
> targeting.
> At moment I have made the followings steps:
> First: A probit model was estimated with all variables predicting whether
> a household receives the transfer of the program social.
> Second: The predicted probalities of receiving the transfer from the
> probit model were calculated. These predicted probabilities are the
> propensity scores.
>
> Now I need to make following step:
> Third: Using the predicted propensity score from step first I must to rank
> households, instead of using the survey-based income alone. Note that the
> share of the population that is eligible (all i which )is given by the
> actual program participation rate, under the counterfactual
> So this last step I can´t to do it. Can you help me?. I have technical
> readings and literature but I can´t to make this last step with Stata. I
> suppose that I need to run a simulation, right?
>
>
>
>
>
> *
> * 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/
>
>
>
*
* 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/
*
* 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/
