Statalist


[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

st: AW: R: counterfactual model based on propensity score


From   "Martin Weiss" <martin.weiss1@gmx.de>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: AW: R: counterfactual model based on propensity score
Date   Tue, 23 Jun 2009 09:03:34 +0200

<> 

Ilya should note that -psmatch- seems to have been superseded by -psmatch2-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: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu] Im Auftrag von Carlo Lazzaro
Gesendet: Dienstag, 23. Juni 2009 08:00
An: statalist@hsphsun2.harvard.edu
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:ilyamaespino@udec.cl] 
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: owner-statalist@hsphsun2.harvard.edu
> [mailto:owner-statalist@hsphsun2.harvard.edu] Per conto di Ilya
> [iso-8859-1]
> María Espino Cruz
> Inviato: venerdì 19 giugno 2009 7.06
> A: statalist@hsphsun2.harvard.edu
> 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/



© Copyright 1996–2014 StataCorp LP   |   Terms of use   |   Privacy   |   Contact us   |   What's new   |   Site index