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  • Propensity score matching

    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

  • #2
    Hello everyone,

    I have Stata 16, which may not be compatible with PSMATCH2. That's why I use PSCORE (attnd, attnw, attr, atts, attk). Is this correct in your opinion?

    Thanks!

    Comment


    • #3
      You may benefit from reading a few articles and/or books on matching theory and practice. For suggestions, see https://www.statalist.org/forums/for...08#post1242208 and help teffects psmatch.

      Also, psmatch2 (Leuven and Sianesi, available from SSC) does work with Stata 16. Stata 16 also has built-in matching programs including propensity score matching.
      David Radwin
      Senior Researcher, California Competes
      californiacompetes.org
      Pronouns: He/Him

      Comment


      • #4
        Thank you @David Radwin!!

        Best wishes,
        Angeliki

        Comment

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