Hi -

I have a simple model where I am trying to understand the impact of a firm's geographical diversification (Ln_GSD) on the firm's performance (Ln_EBIT_ROA.) I am using a fixed effect regression model.

I need to run a Pearson residual model for validating goodness of fit. I am not able to get the stata commands for this. Any help would be much appreciated. Thanks in advance!

For your reference, I am sharing the original fe regression below:

Code:
. xtreg Ln_EBIT_ROA Ln_Revenue Ln_LTD_to_Sales Ln_Intangible_Assets  CoAge wGDPpc wCPI wDCF wExpgr w
> GDPgr wCons Ln_PS_RD c.l1.Ln_GSD c.l1.Ln_GSD_Asset if  CoAge>=0 & NATION=="UNITED STATES" & NATION
> CODE==840 & FSTS>=10 & FSTS<=100 &GENERALINDUSTRYCLASSIFICATION ==1 & Year_<2020 & Year_<YearInact
> ive & Discr_GS_Rev!=1, fe cluster(n_WSID)

Fixed-effects (within) regression               Number of obs     =        926
Group variable: n_WSID                          Number of groups  =        188

R-sq:                                           Obs per group:
     within  = 0.1412                                         min =          1
     between = 0.0050                                         avg =        4.9
     overall = 0.0006                                         max =         18

                                                F(11,187)         =          .
corr(u_i, Xb)  = -0.8922                        Prob > F          =          .

                                       (Std. Err. adjusted for 188 clusters in n_WSID)
--------------------------------------------------------------------------------------
                     |               Robust
         Ln_EBIT_ROA |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
          Ln_Revenue |   .6213811   .1665789     3.73   0.000     .2927657    .9499965
     Ln_LTD_to_Sales |  -.1556032   .0594701    -2.62   0.010    -.2729216   -.0382847
Ln_Intangible_Assets |  -.1654777   .0597661    -2.77   0.006    -.2833801   -.0475753
               CoAge |   -.024804   .0129604    -1.91   0.057    -.0503714    .0007634
              wGDPpc |   .0000398   .0000231     1.72   0.087    -5.77e-06    .0000853
                wCPI |  -.0217982   .0244759    -0.89   0.374    -.0700825    .0264861
                wDCF |   1.53e-13   1.29e-13     1.18   0.238    -1.02e-13    4.08e-13
              wExpgr |  -.0021509   .0117711    -0.18   0.855     -.025372    .0210702
              wGDPgr |    .032427   .0352196     0.92   0.358    -.0370519    .1019058
               wCons |  -2.38e-14   4.52e-14    -0.53   0.598    -1.13e-13    6.53e-14
            Ln_PS_RD |  -.0598333   .0754722    -0.79   0.429    -.2087198    .0890531
                     |
              Ln_GSD |
                 L1. |   -.513574   .1632796    -3.15   0.002    -.8356807   -.1914673
                     |
        Ln_GSD_Asset |
                 L1. |  -.0604326   .0880181    -0.69   0.493    -.2340687    .1132034
                     |
               _cons |  -12.64825    2.90528    -4.35   0.000    -18.37958   -6.916913
---------------------+----------------------------------------------------------------
             sigma_u |  1.6031898
             sigma_e |  .59408415
                 rho |  .87926191   (fraction of variance due to u_i)
--------------------------------------------------------------------------------------