I want to write code that loops over various if conditions in a regression.

I have data like this:
Code:
* Example generated by -dataex-. For more info, type help dataex
clear
input byte id str16 prov int year byte age str5 age_gp str22 prov_age_gp byte(female immigrant white) long income byte(hs satisfied good_health)
  1 "Ontario"          2014 33 "old"   "Ontario-old"            1 0 1 100407 0 1 1
  2 "Ontario"          2020 27 "old"   "Ontario-old"            0 1 1  74657 1 1 1
  3 "Ontario"          2020 45 "old"   "Ontario-old"            0 1 1  83161 0 1 0
  4 "Ontario"          2020 23 "young" "Ontario-young"          1 1 1  75722 1 0 1
  5 "Ontario"          2020 50 "old"   "Ontario-old"            0 1 1  57515 0 0 1
  6 "Ontario"          2014 12 "young" "Ontario-young"          0 1 1 116117 0 1 0
  7 "Ontario"          2018 23 "young" "Ontario-young"          0 1 0  92396 1 0 1
  8 "Ontario"          2017 14 "young" "Ontario-young"          1 0 0  31846 1 1 0
  9 "Ontario"          2018 13 "young" "Ontario-young"          1 1 1  97230 0 1 0
 10 "Ontario"          2016 29 "old"   "Ontario-old"            1 1 0 146051 0 1 1
 11 "Ontario"          2015 12 "young" "Ontario-young"          1 1 0  39582 1 1 0
 12 "Ontario"          2016 28 "old"   "Ontario-old"            1 0 1 115098 1 1 0
 13 "Ontario"          2020 39 "old"   "Ontario-old"            0 0 0  69452 0 0 0
 14 "Ontario"          2017 19 "young" "Ontario-young"          1 1 1  46980 0 1 0
 15 "Ontario"          2014 32 "old"   "Ontario-old"            1 1 0  86176 0 0 1
 16 "Ontario"          2018 19 "young" "Ontario-young"          0 1 0 136418 0 0 0
 17 "Ontario"          2016 48 "old"   "Ontario-old"            0 1 0   2678 0 0 0
 18 "Ontario"          2014 21 "young" "Ontario-young"          0 0 0  93515 1 0 1
 19 "Ontario"          2019 31 "old"   "Ontario-old"            1 1 1  47945 1 1 1
 20 "Ontario"          2016 24 "young" "Ontario-young"          0 1 0  38551 0 1 1
 21 "Ontario"          2015 20 "young" "Ontario-young"          0 1 1  27645 1 1 1
 22 "Ontario"          2019 46 "old"   "Ontario-old"            0 1 1  62639 0 1 1
 23 "Ontario"          2017 46 "old"   "Ontario-old"            1 1 0 130286 1 1 0
 24 "Ontario"          2018 38 "old"   "Ontario-old"            0 1 1  52823 0 0 0
 25 "Ontario"          2016 41 "old"   "Ontario-old"            0 1 0 148866 1 0 0
 26 "Ontario"          2014 41 "old"   "Ontario-old"            0 0 1  42689 1 1 0
 27 "Ontario"          2016 30 "old"   "Ontario-old"            1 1 1  26349 1 0 1
 28 "Ontario"          2014 50 "old"   "Ontario-old"            1 0 1 146965 1 1 0
 29 "Ontario"          2017 33 "old"   "Ontario-old"            0 0 1 144849 0 1 0
 30 "Ontario"          2020 36 "old"   "Ontario-old"            0 0 0  44745 1 1 1
 31 "Ontario"          2018 15 "young" "Ontario-young"          0 0 1  36163 0 1 0
 32 "Ontario"          2015 47 "old"   "Ontario-old"            1 0 0  87398 0 0 1
 33 "Ontario"          2017 23 "young" "Ontario-young"          0 0 1  87833 0 1 0
 34 "Ontario"          2015 31 "old"   "Ontario-old"            0 1 0  19675 0 0 1
 35 "Ontario"          2016 25 "old"   "Ontario-old"            0 0 1 141300 0 1 0
 36 "Ontario"          2014 39 "old"   "Ontario-old"            0 1 0  95323 1 1 1
 37 "Ontario"          2018 17 "young" "Ontario-young"          1 1 1  26585 0 0 0
 38 "Ontario"          2018 29 "old"   "Ontario-old"            1 0 1 110093 1 1 1
 39 "Ontario"          2019 21 "young" "Ontario-young"          1 0 0  48938 1 0 1
 40 "Ontario"          2015 45 "old"   "Ontario-old"            0 0 0 106064 1 0 1
 41 "Ontario"          2015 38 "old"   "Ontario-old"            0 0 1 113473 0 0 0
 42 "Ontario"          2019 42 "old"   "Ontario-old"            0 0 0  43939 0 0 0
 43 "Ontario"          2017 41 "old"   "Ontario-old"            1 1 1 133062 1 1 1
 44 "Ontario"          2019 32 "old"   "Ontario-old"            0 0 1 126149 1 0 1
 45 "Ontario"          2015 46 "old"   "Ontario-old"            1 0 1 137881 0 1 1
 46 "Ontario"          2015 31 "old"   "Ontario-old"            1 1 0 123258 0 1 0
 47 "Ontario"          2020 20 "young" "Ontario-young"          0 1 1  75791 1 1 0
 48 "Ontario"          2016 45 "old"   "Ontario-old"            1 1 1 112068 1 1 1
 49 "Ontario"          2016 23 "young" "Ontario-young"          1 0 1  51956 0 0 1
 50 "Ontario"          2016 20 "young" "Ontario-young"          0 0 1   6505 1 0 0
 51 "Alberta"          2018 47 "old"   "Alberta-old"            0 0 1    568 0 1 0
 52 "Alberta"          2017 34 "old"   "Alberta-old"            1 0 0    439 1 1 0
 53 "Alberta"          2020 26 "old"   "Alberta-old"            1 0 0 115646 0 0 1
 54 "Alberta"          2014 41 "old"   "Alberta-old"            0 0 0  48910 1 1 0
 55 "Alberta"          2016 36 "old"   "Alberta-old"            0 0 1 102959 0 1 1
 56 "Alberta"          2019 45 "old"   "Alberta-old"            1 1 0  25057 1 1 0
 57 "Alberta"          2016 36 "old"   "Alberta-old"            1 1 1 114133 1 1 1
 58 "Alberta"          2015 30 "old"   "Alberta-old"            0 1 1 111965 1 1 1
 59 "Alberta"          2016 18 "young" "Alberta-young"          0 1 1 142191 0 0 0
 60 "Alberta"          2015 41 "old"   "Alberta-old"            0 0 0  40717 0 1 0
 61 "Alberta"          2014 41 "old"   "Alberta-old"            0 0 0 101012 1 1 1
 62 "Alberta"          2018 19 "young" "Alberta-young"          1 0 0 127749 0 0 1
 63 "Alberta"          2017 46 "old"   "Alberta-old"            1 0 0  48383 0 0 0
 64 "Alberta"          2014 31 "old"   "Alberta-old"            0 1 1  41787 1 1 0
 65 "Alberta"          2014 48 "old"   "Alberta-old"            1 0 0  77192 1 0 1
 66 "Alberta"          2017 21 "young" "Alberta-young"          1 0 0  87067 1 1 0
 67 "Alberta"          2015 13 "young" "Alberta-young"          0 0 0  16935 1 1 0
 68 "Alberta"          2017 17 "young" "Alberta-young"          1 1 1 110079 0 1 1
 69 "Alberta"          2015 18 "young" "Alberta-young"          0 0 1  43234 0 1 1
 70 "Alberta"          2015 45 "old"   "Alberta-old"            1 1 0    861 0 0 1
 71 "Alberta"          2015 32 "old"   "Alberta-old"            0 1 1  32675 1 0 1
 72 "British Columbia" 2014 22 "young" "British Columbia-young" 0 1 0 126936 1 1 0
 73 "British Columbia" 2019 19 "young" "British Columbia-young" 1 0 0  18763 0 0 0
 74 "British Columbia" 2020 13 "young" "British Columbia-young" 1 0 0  78998 1 1 1
 75 "British Columbia" 2015 37 "old"   "British Columbia-old"   0 0 1  76340 0 1 0
 76 "British Columbia" 2018 35 "old"   "British Columbia-old"   1 1 1  75289 0 0 0
 77 "British Columbia" 2019 26 "old"   "British Columbia-old"   1 1 0   4810 0 0 1
 78 "British Columbia" 2020 41 "old"   "British Columbia-old"   1 1 1 142516 1 1 0
 79 "British Columbia" 2015 35 "old"   "British Columbia-old"   0 1 0 105552 1 1 1
 80 "British Columbia" 2015 12 "young" "British Columbia-young" 0 0 1 129348 0 0 0
 81 "British Columbia" 2015 46 "old"   "British Columbia-old"   0 1 0  78976 0 0 0
 82 "British Columbia" 2016 46 "old"   "British Columbia-old"   0 1 0  73313 1 0 1
 83 "British Columbia" 2014 26 "old"   "British Columbia-old"   0 0 1 110565 1 1 0
 84 "British Columbia" 2016 17 "young" "British Columbia-young" 1 1 1  54889 1 1 0
 85 "British Columbia" 2016 21 "young" "British Columbia-young" 0 1 0 146396 1 0 1
 86 "British Columbia" 2020 16 "young" "British Columbia-young" 0 1 1  20529 0 0 1
 87 "British Columbia" 2017 23 "young" "British Columbia-young" 0 1 1  95769 1 0 0
 88 "British Columbia" 2016 19 "young" "British Columbia-young" 1 0 1  86253 0 1 0
 89 "British Columbia" 2019 32 "old"   "British Columbia-old"   0 1 0  28271 1 0 1
 90 "British Columbia" 2018 50 "old"   "British Columbia-old"   1 1 1   6557 0 1 1
 91 "Quebec"           2019 46 "old"   "Quebec-old"             1 1 0  75666 0 0 1
 92 "Quebec"           2018 45 "old"   "Quebec-old"             1 0 1 141008 1 0 1
 93 "Quebec"           2017 34 "old"   "Quebec-old"             1 1 1  26363 1 0 0
 94 "Quebec"           2019 26 "old"   "Quebec-old"             1 0 1  70991 1 1 1
 95 "Quebec"           2018 36 "old"   "Quebec-old"             1 0 1 104035 1 1 0
 96 "Quebec"           2017 38 "old"   "Quebec-old"             1 1 1  77509 0 0 1
 97 "Quebec"           2017 17 "young" "Quebec-young"           0 1 1  71834 1 0 0
 98 "Quebec"           2020 12 "young" "Quebec-young"           1 0 0   9244 1 0 1
 99 "Quebec"           2019 14 "young" "Quebec-young"           1 1 1 135374 1 0 0
100 "Quebec"           2017 48 "old"   "Quebec-old"             1 0 0  34177 0 1 1
end
My current code is this:
Code:
local if_list `" "if year != ." "if prov == "Ontario"  "'

foreach cond in `if_list' {
    reg satisfied good_health `cond'
}
However, I get the following error message: "{ required
r(100);"

Could someone please help me resolve this issue?

Thanks!