Hi everyone,

I am working (still in process on the matching model) on a project using teffects psmatch with a number of outcome and treatment variables. The number variables has prompted me to get creative with how I display my diagnostics. Following a teffects psmatch estimation and in checking for the balance of the match, I use the
Code:
tebalance summarize
command. One example result (sorry for the X var placement) is
PHP Code:
.
Treatment-effects estimation                   Number of obs      =      5,357
Estimator      : propensity-score matching     Matches: requested =          1
Outcome model  : matching                                     min =          1
Treatment model: logit                                        max =          2
---------------------------------------------------------------------------------------
                      |              AI Robust
          Yvar |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
ATE                   |
Treatment |
         (yes vs No)  |   .1712712   .0297238     5.76   0.000     .1130136    .2295289
---------------------------------------------------------------------------------------

. tebalance summarize
note: refitting the model using the generate() option

  Covariate balance summary
                                                   Raw      Matched
                          -----------------------------------------
                          Number of obs =        5,357       10,714
                          Treated obs   =        3,915        5,357
                          Control obs   =        1,442        5,357
                          -----------------------------------------

  -----------------------------------------------------------------
                  |Standardized differences          Variance ratio
                  |        Raw     Matched           Raw    Matched
  ----------------+------------------------------------------------
                  |
           X1  |   .0239846   -.0216856      1.003129   .9976267
                  |
              x2|  -.0883955   -.0084951      1.072024   1.040323
              x3|     .03316    .0037765      .9799571   .9515908
             x4 |   .0745632   -.0019823      1.018004   1.045509
                  |
            X5  |   .2021603    .0005313      .6816709   .9989242
                  |
    x6          |  -.1715681   -.0101372      1.098919   .9468103
          x7    |   .0766124    .0212042      .9688859   .9993285
   x8           |   .0059114    .0452078        1.0091   .9892231
  x9            |   .0704363    .0558643       1.03551   .9940278
      x10      |   .1198441    .0224827      .9024419   .8567823
                  |
                  |
       x11     |  -.1158196    .0448593      .7736173    1.11359
          x12  |   .1435748    .0308307      1.398567   1.069149
          x13  |   .0225676   -.0165485      1.057586   .9601829
         x14   |  -.1680311    .0230644      .6564869   1.063654
   x15         |  -.1101453      -.0098      .7807659   .9771978
          x16  |   .0683352   -.0480281        1.1599   .9064829
     x17       |   .1115147   -.0112496      1.277536   .9771073
  ----------------------------------------------------------------- 
What I would like to do is use the coefplot command to take the standardized differences (raw and match) and variance ratios (raw and matched) and plot them with an xline(0) line for standardized differences and an xline(1) for the variance ratios. Then, for each tebalance summarize table, combine into a single, two pane graphic. I have been playing with coefplot command, but cannot get it to work. Any advice on doing so would be greatly appreciated.

Sincerely,

Eric