Hi everyone,
I am a new user of stata and I need your advice if possible.
In order to find the significance of propensity score matching I focus on the z-value derived from probit regression?
More specially, i have used the command "pscore $treatment $ylist, pscore(myscore) blockid(myblock) comsup" where the treatment contain the treated and untreated group (0,1) and the ylist contain my independent variable. My output give the following:
Estimation of the propensity score
Iteration 0: log likelihood = -437345.28
Iteration 1: log likelihood = -437345.28
Probit regression Number of obs = 707170
LR chi2(1) = 0.01
Prob > chi2 = 0.9300
Log likelihood = -437345.28 Pseudo R2 = 0.0000
------------------------------------------------------------------------------
publiccomp | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
apopbtdas | 1.74e-06 .0000199 0.09 0.930 -.0000372 .0000407
_cons | -.4981718 .0015596 -319.42 0.000 -.5012286 -.4951151
------------------------------------------------------------------------------
So, can i say from the z-value/ p-value if there is statistical significance? Or do you suggest another way?
Any recommendations and guidance are much appreciated.
Thanks,
Angeliki
I am a new user of stata and I need your advice if possible.
In order to find the significance of propensity score matching I focus on the z-value derived from probit regression?
More specially, i have used the command "pscore $treatment $ylist, pscore(myscore) blockid(myblock) comsup" where the treatment contain the treated and untreated group (0,1) and the ylist contain my independent variable. My output give the following:
Estimation of the propensity score
Iteration 0: log likelihood = -437345.28
Iteration 1: log likelihood = -437345.28
Probit regression Number of obs = 707170
LR chi2(1) = 0.01
Prob > chi2 = 0.9300
Log likelihood = -437345.28 Pseudo R2 = 0.0000
------------------------------------------------------------------------------
publiccomp | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
apopbtdas | 1.74e-06 .0000199 0.09 0.930 -.0000372 .0000407
_cons | -.4981718 .0015596 -319.42 0.000 -.5012286 -.4951151
------------------------------------------------------------------------------
So, can i say from the z-value/ p-value if there is statistical significance? Or do you suggest another way?
Any recommendations and guidance are much appreciated.
Thanks,
Angeliki
Comment