Dear Stata friends

I wanted to run the following regression with fixed effects:

Code:
reg Arbeitslosenrate_ln avg i.numvar if num<=224 , abs(code)
Unfortunatelly, I stata tells, that the coefficient is omitted because of collinearity. What can I do?


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Code:
* Example generated by -dataex-. For more info, type help dataex
clear
input float code int numvar float Arbeitslosenrate_ln str2 anos2 byte anos2_n float avg_GAP_c str3 estu str2 nuts1 byte nuts1_n str2 sexo byte sexo_n float(Anzahl_Betroffene post) long estu_n float indicate
 1 214  -.8803588 "05" 5 .007879958 "1" "1" 1 "1" 1  2 0 1          0
 1 218 -1.1574527 "05" 5 .007879958 "1" "1" 1 "1" 1  2 0 1          0
 1 222  -1.609438 "05" 5 .007879958 "1" "1" 1 "1" 1  2 0 1          0
 1 226  -.9734491 "05" 5 .007879958 "1" "1" 1 "1" 1  2 0 1          0
 1 230  -.6690497 "05" 5 .007879958 "1" "1" 1 "1" 1  2 0 1          0
 1 234 -1.2039728 "05" 5 .007879958 "1" "1" 1 "1" 1  2 1 1 .007879958
 1 238 -1.6486586 "05" 5 .007879958 "1" "1" 1 "1" 1  2 1 1 .007879958
 1 240  -1.299283 "05" 5 .007879958 "1" "1" 1 "1" 1  2 1 1 .007879958
 2 214  -.8472978 "05" 5 .022296773 "1" "1" 1 "6" 6  4 0 1          0
 2 218 -1.0986123 "05" 5 .022296773 "1" "1" 1 "6" 6  4 0 1          0
 2 222  -.8556661 "05" 5 .022296773 "1" "1" 1 "6" 6  4 0 1          0
 2 226 -1.1895841 "05" 5 .022296773 "1" "1" 1 "6" 6  4 0 1          0
 2 230 -1.0033021 "05" 5 .022296773 "1" "1" 1 "6" 6  4 0 1          0
 2 234 -1.1451323 "05" 5 .022296773 "1" "1" 1 "6" 6  4 1 1 .022296773
 2 238  -.6931472 "05" 5 .022296773 "1" "1" 1 "6" 6  4 1 1 .022296773
 2 240  -.9162907 "05" 5 .022296773 "1" "1" 1 "6" 6  4 1 1 .022296773
 3 214  -.7884573 "05" 5 .015599324 "1" "2" 2 "1" 1  4 0 1          0
 3 218  -.7932307 "05" 5 .015599324 "1" "2" 2 "1" 1  4 0 1          0
 3 222 -1.1486228 "05" 5 .015599324 "1" "2" 2 "1" 1  4 0 1          0
 3 226  -.8690379 "05" 5 .015599324 "1" "2" 2 "1" 1  4 0 1          0
 3 230 -1.2039728 "05" 5 .015599324 "1" "2" 2 "1" 1  4 0 1          0
 3 234  -1.609438 "05" 5 .015599324 "1" "2" 2 "1" 1  4 1 1 .015599324
 3 238  -.9808292 "05" 5 .015599324 "1" "2" 2 "1" 1  4 1 1 .015599324
 3 240  -.9903987 "05" 5 .015599324 "1" "2" 2 "1" 1  4 1 1 .015599324
 4 214  -.6632943 "05" 5  .03912635 "1" "2" 2 "6" 6  7 0 1          0
 4 218  -.6131045 "05" 5  .03912635 "1" "2" 2 "6" 6  7 0 1          0
 4 222 -1.5260563 "05" 5  .03912635 "1" "2" 2 "6" 6  7 0 1          0
 4 226  -.7239188 "05" 5  .03912635 "1" "2" 2 "6" 6  7 0 1          0
 4 230  -.4054651 "05" 5  .03912635 "1" "2" 2 "6" 6  7 0 1          0
 4 234  -.6359887 "05" 5  .03912635 "1" "2" 2 "6" 6  7 1 1  .03912635
 4 238  -.6418539 "05" 5  .03912635 "1" "2" 2 "6" 6  7 1 1  .03912635
 4 240 -1.3217558 "05" 5  .03912635 "1" "2" 2 "6" 6  7 1 1  .03912635
 5 214  -.7884573 "05" 5  .07623795 "1" "3" 3 "1" 1  6 0 1          0
 5 218 -1.1631508 "05" 5  .07623795 "1" "3" 3 "1" 1  6 0 1          0
 5 222  -.6359887 "05" 5  .07623795 "1" "3" 3 "1" 1  6 0 1          0
 5 226 -1.1786549 "05" 5  .07623795 "1" "3" 3 "1" 1  6 0 1          0
 5 230 -1.0116009 "05" 5  .07623795 "1" "3" 3 "1" 1  6 0 1          0
 5 234 -1.0116009 "05" 5  .07623795 "1" "3" 3 "1" 1  6 1 1  .07623795
 5 238  -.7884573 "05" 5  .07623795 "1" "3" 3 "1" 1  6 1 1  .07623795
 5 240 -1.0986123 "05" 5  .07623795 "1" "3" 3 "1" 1  6 1 1  .07623795
 6 214 -1.0296193 "05" 5  .13680671 "1" "3" 3 "6" 6  9 0 1          0
 6 218  -.9808292 "05" 5  .13680671 "1" "3" 3 "6" 6  9 0 1          0
 6 222  -.6286086 "05" 5  .13680671 "1" "3" 3 "6" 6  9 0 1          0
 6 226 -1.3862944 "05" 5  .13680671 "1" "3" 3 "6" 6  9 0 1          0
 6 230 -1.0986123 "05" 5  .13680671 "1" "3" 3 "6" 6  9 0 1          0
 6 234  -1.466337 "05" 5  .13680671 "1" "3" 3 "6" 6  9 1 1  .13680671
 6 238  -.8109302 "05" 5  .13680671 "1" "3" 3 "6" 6  9 1 1  .13680671
 6 240  -.3364722 "05" 5  .13680671 "1" "3" 3 "6" 6  9 1 1  .13680671
 7 214  -.6800752 "05" 5  .04406996 "1" "4" 4 "1" 1 12 0 1          0
 7 218  -.7852625 "05" 5  .04406996 "1" "4" 4 "1" 1 12 0 1          0
 7 222  -.7716188 "05" 5  .04406996 "1" "4" 4 "1" 1 12 0 1          0
 7 226  -.8472978 "05" 5  .04406996 "1" "4" 4 "1" 1 12 0 1          0
 7 230 -1.0266387 "05" 5  .04406996 "1" "4" 4 "1" 1 12 0 1          0
 7 234 -1.2321438 "05" 5  .04406996 "1" "4" 4 "1" 1 12 1 1  .04406996
 7 238 -1.0560527 "05" 5  .04406996 "1" "4" 4 "1" 1 12 1 1  .04406996
 7 240 -1.2110903 "05" 5  .04406996 "1" "4" 4 "1" 1 12 1 1  .04406996
 8 214  -.6253246 "05" 5  .07526647 "1" "4" 4 "6" 6  9 0 1          0
 8 218  -.5925036 "05" 5  .07526647 "1" "4" 4 "6" 6  9 0 1          0
 8 222  -.6225296 "05" 5  .07526647 "1" "4" 4 "6" 6  9 0 1          0
 8 226  -.6480267 "05" 5  .07526647 "1" "4" 4 "6" 6  9 0 1          0
 8 230 -.55431074 "05" 5  .07526647 "1" "4" 4 "6" 6  9 0 1          0
 8 234  -.8407832 "05" 5  .07526647 "1" "4" 4 "6" 6  9 1 1  .07526647
 8 238  -.8708284 "05" 5  .07526647 "1" "4" 4 "6" 6  9 1 1  .07526647
 8 240    -.71562 "05" 5  .07526647 "1" "4" 4 "6" 6  9 1 1  .07526647
 9 214  -.7731899 "05" 5 .010951692 "1" "5" 5 "1" 1  5 0 1          0
 9 218  -.8556661 "05" 5 .010951692 "1" "5" 5 "1" 1  5 0 1          0
 9 222  -.8630462 "05" 5 .010951692 "1" "5" 5 "1" 1  5 0 1          0
 9 226 -1.1093076 "05" 5 .010951692 "1" "5" 5 "1" 1  5 0 1          0
 9 230   -.995428 "05" 5 .010951692 "1" "5" 5 "1" 1  5 0 1          0
 9 234 -1.1325138 "05" 5 .010951692 "1" "5" 5 "1" 1  5 1 1 .010951692
 9 238  -1.446919 "05" 5 .010951692 "1" "5" 5 "1" 1  5 1 1 .010951692
 9 240 -1.2089604 "05" 5 .010951692 "1" "5" 5 "1" 1  5 1 1 .010951692
10 214  -.8788643 "05" 5  .01166011 "1" "5" 5 "6" 6  7 0 1          0
10 218 -.59019923 "05" 5  .01166011 "1" "5" 5 "6" 6  7 0 1          0
10 222 -1.0414538 "05" 5  .01166011 "1" "5" 5 "6" 6  7 0 1          0
10 226  -.7817006 "05" 5  .01166011 "1" "5" 5 "6" 6  7 0 1          0
10 230  -.8415672 "05" 5  .01166011 "1" "5" 5 "6" 6  7 0 1          0
10 234 -1.1592369 "05" 5  .01166011 "1" "5" 5 "6" 6  7 1 1  .01166011
10 238 -1.2750688 "05" 5  .01166011 "1" "5" 5 "6" 6  7 1 1  .01166011
10 240  -.8754688 "05" 5  .01166011 "1" "5" 5 "6" 6  7 1 1  .01166011
11 214 -.56661695 "05" 5 .006574537 "1" "6" 6 "1" 1  7 0 1          0
11 218  -.5630941 "05" 5 .006574537 "1" "6" 6 "1" 1  7 0 1          0
11 222  -.5887441 "05" 5 .006574537 "1" "6" 6 "1" 1  7 0 1          0
11 226  -.7330385 "05" 5 .006574537 "1" "6" 6 "1" 1  7 0 1          0
11 230   -.827625 "05" 5 .006574537 "1" "6" 6 "1" 1  7 0 1          0
11 234  -.8729403 "05" 5 .006574537 "1" "6" 6 "1" 1  7 1 1 .006574537
11 238  -.9966131 "05" 5 .006574537 "1" "6" 6 "1" 1  7 1 1 .006574537
11 240  -1.377926 "05" 5 .006574537 "1" "6" 6 "1" 1  7 1 1 .006574537
12 214  -.4133083 "05" 5 .009388856 "1" "6" 6 "6" 6  4 0 1          0
12 218  -.4388015 "05" 5 .009388856 "1" "6" 6 "6" 6  4 0 1          0
12 222  -.6099968 "05" 5 .009388856 "1" "6" 6 "6" 6  4 0 1          0
12 226  -.4836299 "05" 5 .009388856 "1" "6" 6 "6" 6  4 0 1          0
12 230  -.7595223 "05" 5 .009388856 "1" "6" 6 "6" 6  4 0 1          0
12 234   -.674798 "05" 5 .009388856 "1" "6" 6 "6" 6  4 1 1 .009388856
12 238  -.8167611 "05" 5 .009388856 "1" "6" 6 "6" 6  4 1 1 .009388856
12 240  -.8397506 "05" 5 .009388856 "1" "6" 6 "6" 6  4 1 1 .009388856
13 214  -.7457909 "05" 5 .013999105 "1" "7" 7 "1" 1  2 0 1          0
13 218   -.645138 "05" 5 .013999105 "1" "7" 7 "1" 1  2 0 1          0
13 222  -.6567796 "05" 5 .013999105 "1" "7" 7 "1" 1  2 0 1          0
13 226  -.6678293 "05" 5 .013999105 "1" "7" 7 "1" 1  2 0 1          0
end
format %tq numvar
label values estu_n estu_n
label def estu_n 1 "1", modify
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I would be very thankful if someone could help me. Have a great day.

Felix