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# st: SUREG with if command.

 From David Ashcraft To "statalist@hsphsun2.harvard.edu" Subject st: SUREG with if command. Date Tue, 25 Sep 2012 04:42:06 -0700 (PDT)

```Hi Statalist,

I am trying to run -sureg- with multiple equation as per below. Now I have divided my data based on dummy variable and I want to see if the results are any different based on the dummy variable. Based on my data, I should get three different results i.e. one for the whole sample and two based on the dummy variable. I am getting the same result for the overall sample and where dummy==0 and getting no result for dummy==1.

I don't understand why I am getting this result. Can anyone help me direct to the solution of this problem. I have looked at some older posts but there is no answer.
Regards

David

sureg (rp1 rm1)(rp2 rm2)(rp3 rm3)(rp4 rm4)(rp6 rm6)(rp7 rm7)(rp8 rm8)(rp9 rm9), corr

Seemingly unrelated regression
----------------------------------------------------------------------
Equation          Obs  Parms        RMSE    "R-sq"       chi2        P
----------------------------------------------------------------------
rp1                60      1    .0071761    0.9616    3298.70   0.0000
rp2                60      1    .0092113    0.9465    2534.55   0.0000
rp3                60      1    .0082266    0.9544    2847.07   0.0000
rp4                60      1    .0091633    0.9491    2198.62   0.0000
rp6                60      1    .0084368    0.9515    2677.13   0.0000
rp7                60      1    .0060539    0.9711    3703.34   0.0000
rp8                60      1     .009352    0.9866    5504.52   0.0000
rp9                60      1    .0115533    0.9832    4137.04   0.0000
----------------------------------------------------------------------

------------------------------------------------------------------------------
|      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
rp1          |
rm1 |   .9992066   .0173974    57.43   0.000     .9651084    1.033305
_cons |  -.0000674   .0009287    -0.07   0.942    -.0018876    .0017527
-------------+----------------------------------------------------------------
rp2          |
rm2 |   .9733916   .0193347    50.34   0.000     .9354963    1.011287
_cons |  -.0013549    .001196    -1.13   0.257     -.003699    .0009892
-------------+----------------------------------------------------------------
rp3          |
rm3 |   .9942406   .0186334    53.36   0.000     .9577198    1.030761
_cons |  -.0008887   .0010727    -0.83   0.407    -.0029911    .0012136
-------------+----------------------------------------------------------------
rp4          |
rm4 |   .9618481   .0205131    46.89   0.000     .9216431    1.002053
_cons |   .0010966   .0011632     0.94   0.346    -.0011832    .0033765
-------------+----------------------------------------------------------------
rp6          |
rm6 |   .9920405   .0191732    51.74   0.000     .9544617    1.029619
_cons |  -.0008398    .001099    -0.76   0.445    -.0029937    .0013142
-------------+----------------------------------------------------------------
rp7          |
rm7 |   .9873097    .016224    60.86   0.000     .9555113    1.019108
_cons |   .0001045   .0007886     0.13   0.895    -.0014411    .0016502
-------------+----------------------------------------------------------------
rp8          |
rm8 |   .9554066   .0128774    74.19   0.000     .9301673    .9806458
_cons |   .0009302   .0012033     0.77   0.439    -.0014282    .0032887
-------------+----------------------------------------------------------------
rp9          |
rm9 |   .9889603   .0153757    64.32   0.000     .9588245    1.019096
_cons |  -.0001408   .0014852    -0.09   0.924    -.0030518    .0027703
------------------------------------------------------------------------------

Correlation matrix of residuals:

rp1      rp2      rp3      rp4      rp6      rp7      rp8      rp9
rp1   1.0000
rp2   0.1214   1.0000
rp3   0.2210   0.9609   1.0000
rp4   0.4345  -0.0342   0.0495   1.0000
rp6   0.2268   0.9595   0.9982   0.0447   1.0000
rp7   0.9088   0.2710   0.3749   0.7114   0.3763   1.0000
rp8   0.2240   0.0839   0.0896  -0.0739   0.0987   0.1232   1.0000
rp9   0.2100   0.1163   0.1462  -0.0321   0.1497   0.1600   0.7653   1.0000

Breusch-Pagan test of independence: chi2(28) =   338.778, Pr = 0.0000

. sureg (rp1 rm1)(rp2 rm2)(rp3 rm3)(rp4 rm4)(rp6 rm6)(rp7 rm7)(rp8 rm8)(rp9 rm9)if dummy==0, corr

Seemingly unrelated regression
----------------------------------------------------------------------
Equation          Obs  Parms        RMSE    "R-sq"       chi2        P
----------------------------------------------------------------------
rp1                60      1    .0071761    0.9616    3298.70   0.0000
rp2                60      1    .0092113    0.9465    2534.55   0.0000
rp3                60      1    .0082266    0.9544    2847.07   0.0000
rp4                60      1    .0091633    0.9491    2198.62   0.0000
rp6                60      1    .0084368    0.9515    2677.13   0.0000
rp7                60      1    .0060539    0.9711    3703.34   0.0000
rp8                60      1     .009352    0.9866    5504.52   0.0000
rp9                60      1    .0115533    0.9832    4137.04   0.0000
----------------------------------------------------------------------

------------------------------------------------------------------------------
|      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
rp1          |
rm1 |   .9992066   .0173974    57.43   0.000     .9651084    1.033305
_cons |  -.0000674   .0009287    -0.07   0.942    -.0018876    .0017527
-------------+----------------------------------------------------------------
rp2          |
rm2 |   .9733916   .0193347    50.34   0.000     .9354963    1.011287
_cons |  -.0013549    .001196    -1.13   0.257     -.003699    .0009892
-------------+----------------------------------------------------------------
rp3          |
rm3 |   .9942406   .0186334    53.36   0.000     .9577198    1.030761
_cons |  -.0008887   .0010727    -0.83   0.407    -.0029911    .0012136
-------------+----------------------------------------------------------------
rp4          |
rm4 |   .9618481   .0205131    46.89   0.000     .9216431    1.002053
_cons |   .0010966   .0011632     0.94   0.346    -.0011832    .0033765
-------------+----------------------------------------------------------------
rp6          |
rm6 |   .9920405   .0191732    51.74   0.000     .9544617    1.029619
_cons |  -.0008398    .001099    -0.76   0.445    -.0029937    .0013142
-------------+----------------------------------------------------------------
rp7          |
rm7 |   .9873097    .016224    60.86   0.000     .9555113    1.019108
_cons |   .0001045   .0007886     0.13   0.895    -.0014411    .0016502
-------------+----------------------------------------------------------------
rp8          |
rm8 |   .9554066   .0128774    74.19   0.000     .9301673    .9806458
_cons |   .0009302   .0012033     0.77   0.439    -.0014282    .0032887
-------------+----------------------------------------------------------------
rp9          |
rm9 |   .9889603   .0153757    64.32   0.000     .9588245    1.019096
_cons |  -.0001408   .0014852    -0.09   0.924    -.0030518    .0027703
------------------------------------------------------------------------------

Correlation matrix of residuals:

rp1      rp2      rp3      rp4      rp6      rp7      rp8      rp9
rp1   1.0000
rp2   0.1214   1.0000
rp3   0.2210   0.9609   1.0000
rp4   0.4345  -0.0342   0.0495   1.0000
rp6   0.2268   0.9595   0.9982   0.0447   1.0000
rp7   0.9088   0.2710   0.3749   0.7114   0.3763   1.0000
rp8   0.2240   0.0839   0.0896  -0.0739   0.0987   0.1232   1.0000
rp9   0.2100   0.1163   0.1462  -0.0321   0.1497   0.1600   0.7653   1.0000

Breusch-Pagan test of independence: chi2(28) =   338.778, Pr = 0.0000

. sureg (rp1 rm1)(rp2 rm2)(rp3 rm3)(rp4 rm4)(rp6 rm6)(rp7 rm7)(rp8 rm8)(rp9 rm9)if dummy==1, corr
insufficient observations
r(2001);

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