Hi everyone!

I am a student and do a thesis on the abnormal return generated by domestic terrorism events in the US, an event study.
For this I use dummy and continuous variables.
I use Stata version 15.1 using xtscc

I did an xtscc regression, since the panel data was cross-sectional correlated. I have ten specified industries I interpret, however I also have to interpret the impact on the entire NYSE.
The following table presents the impact of the events on the entire NYSE.
(1) (2) (3) (4) (5) (6)
VARIABLES US Casualties Motive Mortality Rate Location Dispersion Suicide
Act of terrorism (dummy) 0.00197 0.0537** 0.00496 0.0488** 0.0118 0.00901
(0.0124) (0.0182) (0.0121) (0.0185) (0.0140) (0.0126)
One year lag (numeric continuous) -0.0181* -0.0182* -0.0181* -0.0181* -0.0181* -0.0181*
(0.00910) (0.00910) (0.00910) (0.00910) (0.00910) (0.00910)
Islam inspired motive (dummy) -0.0732**
(0.0320)
Right wing political motive (dummy) -0.0508**
(0.0184)
Other motive (dummy) -0.0336**
(0.0119)
US Casualties (dummy) 0.0315
(0.0320)
Mortality Rate US citizens (numeric continuous) 0.00564*
(0.00261)
Target New York City (dummy) -0.0304
(0.0249)
Target Financial city (dummy) -0.0628
(0.0530)
Other location (dummy) -0.0388**
(0.0125)
Dispersion in days (numeric continuous) -0.000228
(0.000460)
Suicide by perpetrator(s) (dummy) -0.0254
(0.0768)
Constant 0.00374 0.00425 0.00370 0.00429 0.00386 0.00380
(0.00417) (0.00417) (0.00417) (0.00417) (0.00416) (0.00416)
Observations 42,770 42,770 42,770 42,770 42,770 42,770
R-squared 0.000 0.000 0.000 0.000 0.000 0.000
Number of groups 10 10 10 10 10 10
Standard errors in parentheses
*** p<0.01, ** p<0.05, * p<0.1

I am stuck on the interpretation of the table, as I find it difficult to read the effect.

An example of my data is the following:
Code:
* Example generated by -dataex-. To install: ssc install dataex
clear
input float(industry date3) double Dispersion float(NewYorkCity Financialcities Terrorism suicide IslamInspired RightWingTerrorism OtherMotive nkillus USCasualties Otherlocation lag_norm)
1   1  0 0 0 0 0 0 0 0 0 0 0          .
1   2  0 0 0 0 0 0 0 0 0 0 0  .14726657
1   3  0 0 0 0 1 1 0 0 0 0 1  -.3925821
1   4  0 0 0 0 0 0 0 0 0 0 0 -1.4826362
1   5  0 0 0 0 0 0 0 0 0 0 0    .349348
1   6  0 0 0 0 0 0 0 0 0 0 0 -.55608904
1   7  0 0 0 0 0 0 0 0 0 0 0 -1.9572344
1   8  0 0 0 0 0 0 0 0 0 0 0  -.9028165
1   9  0 0 0 0 0 0 0 0 0 0 0   .1916338
1  10  0 0 0 0 0 0 0 0 0 0 0   .9699838
1  11  0 0 0 0 0 0 0 0 0 0 0   .9682758
1  12  0 0 0 0 0 0 0 0 0 0 0  .41327965
1  13  0 0 0 0 0 0 0 0 0 0 0 .001258254
1  14  0 0 0 0 0 0 0 0 0 0 0  -5.428175
1  15  0 0 0 0 0 0 0 0 0 0 0  -.0948005
1  16  0 0 0 0 0 0 0 0 0 0 0  .12732422
1  17 21 0 0 1 0 0 0 1 0 0 1  2.2153707
1  18  0 0 0 0 0 0 0 0 0 0 0  -5.388564
1  19  0 0 0 0 0 0 0 0 0 0 0  2.3124878
1  20  0 0 0 0 0 0 0 0 0 0 0 -3.1812844
1  21  0 0 0 0 0 0 0 0 0 0 0   4.726941
1  22  0 0 0 0 0 0 0 0 0 0 0   .9461601
1  23  0 0 0 0 0 0 0 0 0 0 0  -1.822937
1  24  0 0 0 0 0 0 0 0 0 0 0  -.5067613
1  25  0 0 0 0 0 0 0 0 0 0 0   .8031158
1  26  0 0 0 0 0 0 0 0 0 0 0   3.311516
1  27  0 0 0 0 0 0 0 0 0 0 0   .6476688
1  28  0 0 0 0 0 0 0 0 0 0 0   2.111576
1  29  0 0 0 0 0 0 0 0 0 0 0  .15575874
1  30  0 0 0 0 0 0 0 0 0 0 0 -.03409575
1  31  0 0 0 0 0 0 0 0 0 0 0 -1.8898008
1  32  0 0 0 0 0 0 0 0 0 0 0   2.612545
1  33  0 0 0 0 0 0 0 0 0 0 0  -1.880528
1  34  0 0 0 0 0 0 0 0 0 0 0 -.23485056
1  35  0 0 0 0 0 0 0 0 0 0 0 -.24395937
1  36  0 0 0 0 0 0 0 0 0 0 0 -2.0437975
1  37  0 0 0 0 0 0 0 0 0 0 0  2.1375442
1  38  0 0 0 0 0 0 0 0 0 0 0 -1.0830109
1  39  0 0 0 0 0 0 0 0 0 0 0  1.0365268
1  40  0 0 0 0 0 0 0 0 0 0 0  .24014443
1  41  0 0 0 0 0 0 0 0 0 0 0     1.0486
1  42  0 0 0 0 0 0 0 0 0 0 0 -.47032595
1  43  0 0 0 0 0 0 0 0 0 0 0 -.15876883
1  44  0 0 0 0 0 0 0 0 0 0 0   .3237863
1  45  0 0 0 0 0 0 0 0 0 0 0 .024296284
1  46  0 0 0 0 0 0 0 0 0 0 0  -1.103821
1  47  0 0 0 0 0 0 0 0 0 0 0   1.144811
1  48  0 0 0 0 0 0 0 0 0 0 0  -.5415889
1  49  0 0 0 0 0 0 0 0 0 0 0   .3856568
1  50  0 0 0 0 0 0 0 0 0 0 0  -1.426194
1  51  0 0 0 0 0 0 0 0 0 0 0   1.429711
1  52  0 0 0 0 0 0 0 0 0 0 0   .3579682
1  53  0 0 0 0 0 0 0 0 0 0 0 .033926666
1  54  0 0 0 0 0 0 0 0 0 0 0  -2.720959
1  55  0 0 0 0 0 0 0 0 0 0 0  -.2142462
1  56 57 0 0 1 0 0 0 1 0 0 1   .1400603
1  57  0 0 0 0 0 0 0 0 0 0 0   .9721905
1  58  0 0 0 0 0 0 0 0 0 0 0   .3362675
1  59  0 0 0 0 0 0 0 0 0 0 0  -.3609953
1  60  0 0 0 0 0 0 0 0 0 0 0 -2.3436384
1  61  0 0 0 0 0 0 0 0 0 0 0   .6113771
1  62  0 0 0 0 0 0 0 0 0 0 0 -2.7633216
1  63  0 0 0 0 0 0 0 0 0 0 0 -3.8684616
1  64  0 0 0 0 0 0 0 0 0 0 0  -.6188751
1  65  0 0 0 0 0 0 0 0 0 0 0  1.4791256
1  66  0 0 0 0 0 0 0 0 0 0 0  .09460098
1  67  0 0 0 0 0 0 0 0 0 0 0  1.4264836
1  68  0 0 0 0 0 0 0 0 0 0 0    .192537
1  69  0 0 0 0 0 0 0 0 0 0 0 -.10378847
1  70  0 0 0 0 0 0 0 0 0 0 0   .4740425
1  71  0 0 0 0 0 0 0 0 0 0 0   .7206583
1  72  0 0 0 0 0 0 0 0 0 0 0 -.21743584
1  73  0 0 0 0 0 0 0 0 0 0 0 -1.2229074
1  74  0 0 0 0 0 0 0 0 0 0 0  -.3419091
1  75  0 0 0 0 0 0 0 0 0 0 0  2.0386014
1  76  0 0 0 0 0 0 0 0 0 0 0 -.10929382
1  77  0 0 0 0 0 0 0 0 0 0 0    1.64022
1  78  0 0 0 0 0 0 0 0 0 0 0 -1.8230085
1  79  0 0 0 0 0 0 0 0 0 0 0   3.451079
1  80  0 0 0 0 0 0 0 0 0 0 0   .5227447
1  81  0 0 0 0 0 0 0 0 0 0 0   .8057634
1  82  0 0 0 0 0 0 0 0 0 0 0  1.1821617
1  83  0 0 0 0 0 0 0 0 0 0 0  -.7251104
1  84 40 0 0 1 0 0 0 9 0 0 9   .4699563
1  85  0 0 0 0 0 0 0 0 0 0 0  -.8884256
1  86  0 0 0 0 0 0 0 0 0 0 0 -1.2359784
1  87  0 0 0 0 0 0 0 0 0 0 0   .8916743
1  88  0 0 0 0 0 0 0 0 0 0 0  -1.816106
1  89  0 0 0 0 0 0 0 0 0 0 0 -1.6005353
1  90  0 0 0 0 0 0 0 0 0 0 0  -.6391434
1  91  0 0 0 0 0 0 0 0 0 0 0   .9389873
1  92  0 0 0 0 0 0 0 0 0 0 0  1.3203605
1  93  0 0 0 0 0 0 0 0 0 0 0  1.2037504
1  94  0 0 0 0 0 0 0 0 0 0 0   .9205027
1  95  0 0 0 0 0 0 0 0 0 0 0  1.2869184
1  96  0 0 0 0 0 0 0 0 0 0 0 -.51946497
1  97  0 0 0 0 0 0 0 0 0 0 0   .3548341
1  98  0 0 0 0 0 0 0 0 0 0 0 -.16927294
1  99  0 0 0 0 0 0 0 0 0 0 0   .3343731
1 100  0 0 0 0 0 0 0 0 0 0 0   -1.82412
end

These are the commands I used to get to the table.

*Outreg2 for all observations
Code:
xtscc norm_return Terrorism lag_norm USCasualties
outreg2 using AllObservations.doc, replace ctitle(US Casualties) label
xtscc norm_return Terrorism lag_norm IslamInspired RightWingTerrorism OtherMotive
outreg2 using AllObservations.doc, append ctitle(Motive) label
xtscc norm_return Terrorism lag_norm nkillus
outreg2 using AllObservations.doc, append ctitle(Mortality Rate) label
xtscc norm_return Terrorism lag_norm NewYorkCity Financialcities Otherlocation
outreg2 using AllObservations.doc, append ctitle(Location) label
xtscc norm_return Terrorism lag_norm Dispersion
outreg2 using AllObservations.doc, append ctitle(Dispersion) label
xtscc norm_return Terrorism lag_norm suicide
outreg2 using AllObservations.doc, append ctitle(Suicide) label
Can anybody help me?

Thanks in advance!