Placebo test

[Muhammad Ramzan]

I have to do a placebo test that estimates based on randomized inference obtained after conducting 100 simulations that randomly assign location and year to children in our sample.


ivreg2 child_alive (ed=dum) run1 run2 i.child_birthyear i.child_sex i.year i.region i.urban if age_80>=9 & age_80<=20 & age_80~=14 & age_80~=15, r cluster(caseid age_80)


I want to have a graph like for ed coefficient please





* Example generated by -dataex-. To install: ssc install dataex
clear
input str15 caseid int child_dob byte(child_sex child_alive) float(year age birthyear region urban ed_years secondary child_age child_birthyear child_monthsatdeath child_survivedto5 child_survivedto3 child_survivedto1 age_80 dum run1 run2)
" 1 3 2" 1170 1 0 2010 41 1969 9 1 16 1 160 1997 . 0 1 0 11 1 -4 0
" 1 3 2" 1118 2 0 2010 41 1969 9 1 16 1 212 1993 . 0 1 0 11 1 -4 0
" 1 8 7" 1302 1 0 2010 21 1988 9 1 11 1 28 2008 . . . 0 -8 . . .
" 1 14 2" 1290 2 0 2010 28 1982 9 1 11 1 40 2007 . . 1 0 -2 . . .
" 1 19 1" 1254 2 0 2010 35 1974 9 1 11 1 76 2004 . 0 1 0 6 1 -9 0
" 1 19 1" 1203 1 0 2010 35 1974 9 1 11 1 127 2000 . 0 1 0 6 1 -9 0
" 1 21 1" 1194 1 0 2010 40 1970 9 1 11 1 136 1999 . 0 1 0 10 1 -5 0
" 1 21 1" 1143 2 0 2010 40 1970 9 1 11 1 187 1995 . 0 1 0 10 1 -5 0
" 1 24 3" 1003 2 0 2010 48 1961 9 1 9 1 327 1983 . 0 1 0 19 0 0 4
" 1 24 3" 957 2 1 2010 48 1961 9 1 9 1 373 1979 0 1 0 1 19 0 0 4
" 1 24 3" 908 1 1 2010 48 1961 9 1 9 1 422 1975 396 0 1 0 19 0 0 4
" 1 29 1" 1056 2 1 2010 47 1962 9 1 9 1 274 1987 84 0 1 0 18 0 0 3
" 1 29 1" 1017 1 0 2010 47 1962 9 1 9 1 313 1984 . 0 1 0 18 0 0 3
" 1 29 1" 981 2 0 2010 47 1962 9 1 9 1 349 1981 . 0 1 0 18 0 0 3
" 1 29 5" 1272 1 0 2010 30 1980 9 1 10 1 58 2005 . . 1 0 0 . . .
" 1 29 5" 1116 2 1 2010 30 1980 9 1 10 1 214 1992 5 1 0 1 0 . . .
" 2 2 2" 1321 2 0 2011 38 1972 5 2 6 0 14 2010 . . . 0 8 1 -7 0
" 2 2 2" 1296 1 0 2011 38 1972 5 2 6 0 39 2007 . . 1 0 8 1 -7 0
" 2 2 2" 1255 1 0 2011 38 1972 5 2 6 0 80 2004 . 0 1 0 8 1 -7 0
" 2 3 2" 1282 2 1 2011 29 1981 5 2 11 1 53 2006 24 . 0 0 -1 . . .
" 2 3 2" 1185 2 0 2011 29 1981 5 2 11 1 150 1998 . 0 1 0 -1 . . .
" 2 4 2" 1286 1 0 2011 44 1966 5 2 8 1 49 2007 . . 1 0 14 1 -1 0
" 2 4 2" 1204 1 0 2011 44 1966 5 2 8 1 131 2000 . 0 1 0 14 1 -1 0
" 2 4 2" 1149 2 0 2011 44 1966 5 2 8 1 186 1995 . 0 1 0 14 1 -1 0
" 2 4 2" 1099 1 0 2011 44 1966 5 2 8 1 236 1991 . 0 1 0 14 1 -1 0
" 2 4 2" 1053 2 0 2011 44 1966 5 2 8 1 282 1987 . 0 1 0 14 1 -1 0
" 2 5 1" 1017 2 0 2011 43 1967 5 2 6 0 318 1984 . 0 1 0 13 1 -2 0
" 2 5 1" 993 2 0 2011 43 1967 5 2 6 0 342 1982 . 0 1 0 13 1 -2 0
" 2 6 1" 1320 2 0 2011 35 1975 5 2 10 1 15 2009 . . . 0 5 . . .
" 2 6 1" 1150 1 0 2011 35 1975 5 2 10 1 185 1995 . 0 1 0 5 . . .
" 2 6 1" 1124 2 0 2011 35 1975 5 2 10 1 211 1993 . 0 1 0 5 . . .
" 2 8 1" 1282 1 0 2011 31 1980 5 2 11 1 53 2006 . . 1 0 0 . . .
" 2 8 1" 1244 2 0 2011 31 1980 5 2 11 1 91 2003 . 0 1 0 0 . . .
" 2 12 2" 1329 2 0 2011 38 1972 5 2 6 0 6 2010 . . . . 8 1 -7 0
" 2 12 2" 1312 1 0 2011 38 1972 5 2 6 0 23 2009 . . . 0 8 1 -7 0
" 2 12 2" 1293 2 0 2011 38 1972 5 2 6 0 42 2007 . . 1 0 8 1 -7 0
" 2 12 2" 1268 2 0 2011 38 1972 5 2 6 0 67 2005 . 0 1 0 8 1 -7 0
" 2 12 2" 1246 1 0 2011 38 1972 5 2 6 0 89 2003 . 0 1 0 8 1 -7 0
" 2 12 2" 1218 2 0 2011 38 1972 5 2 6 0 117 2001 . 0 1 0 8 1 -7 0
" 2 12 2" 1197 2 0 2011 38 1972 5 2 6 0 138 1999 . 0 1 0 8 1 -7 0
" 2 12 2" 1187 1 0 2011 38 1972 5 2 6 0 148 1998 . 0 1 0 8 1 -7 0
" 2 12 2" 1151 1 0 2011 38 1972 5 2 6 0 184 1995 . 0 1 0 8 1 -7 0
" 2 14 2" 1320 1 0 2011 26 1984 5 2 7 0 15 2009 . . . 0 -4 . . .
" 2 20 2" 1298 1 0 2011 35 1975 5 2 7 0 37 2008 . . 1 0 5 . . .
" 2 20 2" 1243 1 0 2011 35 1975 5 2 7 0 92 2003 . 0 1 0 5 . . .
" 2 20 2" 1173 2 0 2011 35 1975 5 2 7 0 162 1997 . 0 1 0 5 . . .
" 2 20 2" 1142 2 0 2011 35 1975 5 2 7 0 193 1995 . 0 1 0 5 . . .
" 2 21 2" 1270 2 0 2011 33 1977 5 2 7 0 65 2005 . 0 1 0 3 . . .
" 2 21 2" 1206 1 0 2011 33 1977 5 2 7 0 129 2000 . 0 1 0 3 . . .
" 2 21 2" 1185 2 0 2011 33 1977 5 2 7 0 150 1998 . 0 1 0 3 . . .
" 2 23 1" 1199 1 0 2011 40 1970 5 2 10 1 136 1999 . 0 1 0 10 1 -5 0
" 2 23 1" 1160 2 0 2011 40 1970 5 2 10 1 175 1996 . 0 1 0 10 1 -5 0
" 2 23 1" 1118 2 0 2011 40 1970 5 2 10 1 217 1993 . 0 1 0 10 1 -5 0
" 2 23 1" 1071 2 0 2011 40 1970 5 2 10 1 264 1989 . 0 1 0 10 1 -5 0
" 2 24 2" 1309 1 0 2011 33 1977 5 2 7 0 26 2009 . . . 0 3 . . .
" 2 24 2" 1281 2 0 2011 33 1977 5 2 7 0 54 2006 . . 1 0 3 . . .
" 2 24 2" 1246 1 0 2011 33 1977 5 2 7 0 89 2003 . 0 1 0 3 . . .
" 2 24 2" 1213 1 0 2011 33 1977 5 2 7 0 122 2001 . 0 1 0 3 . . .
" 2 28 2" 1135 1 0 2011 47 1963 5 2 8 1 200 1994 . 0 1 0 17 0 0 2
" 2 28 2" 1112 2 0 2011 47 1963 5 2 8 1 223 1992 . 0 1 0 17 0 0 2
" 2 28 2" 1065 2 0 2011 47 1963 5 2 8 1 270 1988 . 0 1 0 17 0 0 2
" 2 28 2" 1039 2 0 2011 47 1963 5 2 8 1 296 1986 . 0 1 0 17 0 0 2
" 2 28 2" 988 2 0 2011 47 1963 5 2 8 1 347 1982 . 0 1 0 17 0 0 2
" 2 29 2" 1225 1 0 2011 47 1963 5 2 6 0 110 2002 . 0 1 0 17 0 0 2
" 2 29 2" 1188 1 0 2011 47 1963 5 2 6 0 147 1998 . 0 1 0 17 0 0 2
" 2 29 2" 1158 2 0 2011 47 1963 5 2 6 0 177 1996 . 0 1 0 17 0 0 2
" 2 29 2" 1131 2 0 2011 47 1963 5 2 6 0 204 1994 . 0 1 0 17 0 0 2
" 2 29 2" 1102 1 0 2011 47 1963 5 2 6 0 233 1991 . 0 1 0 17 0 0 2
" 2 29 2" 1032 2 0 2011 47 1963 5 2 6 0 303 1985 . 0 1 0 17 0 0 2
" 2 29 2" 1001 1 0 2011 47 1963 5 2 6 0 334 1983 . 0 1 0 17 0 0 2
" 2 29 3" 1333 2 0 2011 26 1985 5 2 9 1 2 2011 . . . . -5 . . .
" 2 29 3" 1301 1 0 2011 26 1985 5 2 9 1 34 2008 . . . 0 -5 . . .
" 2 29 3" 1258 1 1 2011 26 1985 5 2 9 1 77 2004 19 1 0 0 -5 . . .
" 3 6 2" 1216 1 0 2011 36 1974 7 2 11 1 117 2001 . 0 1 0 6 1 -9 0
" 3 6 2" 1156 2 0 2011 36 1974 7 2 11 1 177 1996 . 0 1 0 6 1 -9 0
" 3 7 2" 1289 1 0 2011 20 1990 7 2 11 1 44 2007 . . 1 0 -10 . . .
" 3 18 2" 1284 1 0 2011 33 1978 7 2 11 1 49 2006 . . 1 0 2 . . .
" 3 18 2" 1239 2 0 2011 33 1978 7 2 11 1 94 2003 . 0 1 0 2 . . .
" 3 19 2" 1331 1 0 2011 29 1982 7 2 11 1 2 2010 . . . . -2 . . .
" 3 19 2" 1246 2 0 2011 29 1982 7 2 11 1 87 2003 . 0 1 0 -2 . . .
" 3 20 2" 1321 1 0 2011 27 1983 7 2 7 0 12 2010 . . . 0 -3 . . .
" 3 20 2" 1278 1 0 2011 27 1983 7 2 7 0 55 2006 . . 1 0 -3 . . .
" 3 22 2" 1242 1 0 2011 38 1972 7 2 8 1 91 2003 . 0 1 0 8 1 -7 0
" 3 22 2" 1131 1 0 2011 38 1972 7 2 8 1 202 1994 . 0 1 0 8 1 -7 0
" 3 22 2" 1082 2 0 2011 38 1972 7 2 8 1 251 1990 . 0 1 0 8 1 -7 0
" 3 22 2" 1082 1 0 2011 38 1972 7 2 8 1 251 1990 . 0 1 0 8 1 -7 0
" 4 7 1" 1215 1 0 2010 28 1982 9 1 11 1 115 2001 . 0 1 0 -2 . . .
" 4 8 2" 1176 2 0 2010 44 1965 9 1 9 1 154 1997 . 0 1 0 15 1 0 0
" 4 8 2" 1099 1 0 2010 44 1965 9 1 9 1 231 1991 . 0 1 0 15 1 0 0
" 4 8 2" 1047 1 0 2010 44 1965 9 1 9 1 283 1987 . 0 1 0 15 1 0 0
" 4 12 2" 1311 1 0 2010 22 1987 9 1 9 1 19 2009 . . . 0 -7 . . .
" 4 12 2" 1273 1 0 2010 22 1987 9 1 9 1 57 2006 . . 1 0 -7 . . .
" 4 13 2" 1318 1 0 2010 38 1972 9 1 11 1 12 2009 . . . 0 8 1 -7 0
" 4 13 2" 1204 2 0 2010 38 1972 9 1 11 1 126 2000 . 0 1 0 8 1 -7 0
" 4 13 2" 1134 1 0 2010 38 1972 9 1 11 1 196 1994 . 0 1 0 8 1 -7 0
" 4 19 2" 1243 2 0 2010 31 1979 9 1 10 1 87 2003 . 0 1 0 1 . . .
" 4 19 2" 1187 1 0 2010 31 1979 9 1 10 1 143 1998 . 0 1 0 1 . . .
" 4 21 1" 1299 1 0 2010 34 1976 9 1 11 1 31 2008 . . . 0 4 . . .
" 4 21 1" 1233 2 0 2010 34 1976 9 1 11 1 97 2002 . 0 1 0 4 . . .
" 4 21 1" 1206 1 0 2010 34 1976 9 1 11 1 124 2000 . 0 1 0 4 . . .
end
label values child_sex b4
label def b4 1 "male", modify
label def b4 2 "female", modify
label values child_alive b5
label def b5 0 "no", modify
label def b5 1 "yes", modify


Thanks

[William Lisowski]

This topic was previously posted in the appropriate location - the Statalist General Forum - at

https://www.statalist.org/forums/for...3-placebo-test

and any responses should be posted there.

Statalist's Mata Forum is used for discussions of Stata's Mata language, which is different than Stata's command language, and different than Stata's matrix commands. The question will have seen a more appropriate and much larger audience in Statalist's General Forum.