Very large T- Statistics

[Ammanna Azwai]

Hi Stata Community, I'm running some regressions using Fixed Effect Methodology. The issue is that the outcome of my regression shows very large T statistics for some of the variables. I would like to have your thought about ( is this a good sign to have T statistics above 100) or there is an issue that I need to fix. I also noticed that the F test is not reported and only dot is shown. Any could explain what is the issue and how it can be solved?
Thanks a lot for your help in advance.

xtreg data38350 w_l_data4024 w_l_asset w_l_net_int_margin w_l_fee_income wholefund w_l_non_int_exp w_l_mktshare RESTINC_rest RESTDEC_rest. fe cluster (Country)

Fixed-effects (within) regression               Number of obs      =     52406
Group variable: Bvdidnum                        Number of groups   =      8897
 
R-sq:  Within  = 0.0314                         Obs per group: min =         1
       Between = 0.0540                                        avg =       5.9
       Overall = 0.0462                                        max =        17
 
                                                F(8,10)            =         .
corr(u_i, Xb)  = -0.4073                        Prob > F           =         .
 
                                (Std. err. adjusted for 11 clusters in Country)
-------------------------------------------------------------------------------
              |               Robust
    data38350 | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------+----------------------------------------------------------------
 w_l_data4024 |   .3722737    .001208   308.18   0.000     .3695822    .3749653
    w_l_asset |  -4.095435   .0018257 -2243.23   0.000    -4.099503   -4.091367
w_l_net_int~n |  -.0930606   .0012431   -74.86   0.000    -.0958303   -.0902909
w_l_fee_inc~e |   .2234046   .0134468    16.61   0.000     .1934434    .2533658
    wholefund |  -1.636517   .8602466    -1.90   0.086    -3.553265    .2802323
w_l_non_int~p |   .0662385   .0014957    44.29   0.000     .0629059     .069571
 w_l_mktshare |   .4508283   .0805129     5.60   0.000     .2714344    .6302223
 RESTINC_rest |   .0947936   .0000537  1765.90   0.000      .094674    .0949132
 RESTDEC_rest |   .0178919   .0015936    11.23   0.000     .0143413    .0214426
        _cons |   32.68893   .0093108  3510.87   0.000     32.66818    32.70967
--------------+----------------------------------------------------------------
      sigma_u |  9.7930902
      sigma_e |  4.4650662
          rho |  .82789564   (fraction of variance due to u_i)
-------------------------------------------------------------------------------

[George Ford]

could be that 1 obs in a cluster, or few observations in a few.

[Carlo Lazzaro]

Ammanna:
as an aside to George's helpful reply, I would be way more concerned about your negligible Rsq Within = 0.0314.
The high Ts (that are, in turn, the result of low standard errors) mean that there's a very limited within-panel variation in your time-varying predictors.
As we know, this is not good for the -fe- estimator, that works at hist best when the within-oanel variation of the time-varying predictord is reasonably high.