Dear Stata community,

currently, I am trying to decide whether my data is normally distributed or not using the Jarque-Bera test. The test runs fine, however, after reading the manual, looking at other posts (most of which are unanswered), and watching youtube videos, I have not found a way how to interpret the results for panel data. I would be very grateful if somebody could please help me with this.

Code:
xtsktest resid
(running _xtsktest_calculations on estimation sample)

Bootstrap replications (50)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
..................................................    50

Tests for skewness and kurtosis                          Number of obs = 3,683
                                                         Replications  =    50

                                  (Replications based on 559 clusters in firm)
------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
             | coefficient  std. err.      z    P>|z|     [95% conf. interval]
-------------+----------------------------------------------------------------
  Skewness_e |  -.0002604   .0001401    -1.86   0.063     -.000535    .0000142
  Kurtosis_e |   .0003008   .0001085     2.77   0.006     .0000882    .0005134
  Skewness_u |   .0001761    .000113     1.56   0.119    -.0000454    .0003976
  Kurtosis_u |  -7.41e-06   .0000286    -0.26   0.795    -.0000634    .0000486
------------------------------------------------------------------------------
Joint test for Normality on e:        chi2(2) =  11.14    Prob > chi2 = 0.0038
Joint test for Normality on u:        chi2(2) =   2.49    Prob > chi2 = 0.2873
------------------------------------------------------------------------------



. jb resid
Jarque-Bera normality test:   2878 Chi(2)      0
Jarque-Bera test for Ho: normality:
Thank you very much!

Best,
Robin