I am trying to create a variable that reports the average level of an indicator (X) across a district's neighboring districts. I have my master data set, which includes an id (unique) for each district and corresponding X value. The ids are not unique (despite the var name) I have a 2nd data set that has the same id (also not unique), another classifier for the district (objectid), and a list of neighboring districts based on this second classifier. Examples of the two data sets are below (the first is the master and the 2nd is the neighbors' information).
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input float uniqueid double corr17 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1001 0 1003 . 1003 . 1003 . 1003 . 1003 . 1003 . 1005 . 1005 . 1005 . 2001 .9759855586256593 2001 .9759855586256593 2001 .9759855586256593 2001 .9759855586256593 2001 .9759855586256593 2001 .9759855586256593 2001 .9759855586256593 2001 .9759855586256593 2001 .9759855586256593 2001 .9759855586256593 2001 .9759855586256593 2001 .9759855586256593 2001 .9759855586256593 2001 .9759855586256593 2001 .9759855586256593 2001 .9759855586256593 2001 .9759855586256593 2001 .9759855586256593 2001 .9759855586256593 2001 .9759855586256593 2001 .9759855586256593 end
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input int objectid str5 uniqueid int nbr_objectid 1 "1002" 8 1 "1002" 9 1 "1002" 1945 1 "1002" 6 1 "1002" 509 1 "1002" 1939 1 "1002" 2 1 "1002" 7 2 "1011" 8 2 "1011" 7 2 "1011" 1 2 "1011" 5 3 "1007" 6 3 "1007" 1947 3 "1007" 11 3 "1007" 4 3 "1007" 1929 3 "1007" 1896 3 "1007" 8 4 "1008" 10 4 "1008" 3 4 "1008" 8 4 "1008" 1942 4 "1008" 5 4 "1008" 1947 5 "1005" 10 5 "1005" 4 5 "1005" 7 5 "1005" 8 5 "1005" 2 6 "1009" 3 6 "1009" 8 6 "1009" 1939 6 "1009" 1929 6 "1009" 1 7 "1001" 10 7 "1001" 1 7 "1001" 558 7 "1001" 2 7 "1001" 588 7 "1001" 9 7 "1001" 5 7 "1001" 531 7 "1001" 524 8 "1006" 1 8 "1006" 2 8 "1006" 3 8 "1006" 5 8 "1006" 4 8 "1006" 6 9 "1010" 558 9 "1010" 1 9 "1010" 7 9 "1010" 509 10 "1003" 1921 10 "1003" 7 10 "1003" 5 10 "1003" 1899 10 "1003" 1942 10 "1003" 4 10 "1003" 524 11 "1004" 1896 11 "1004" 1929 11 "1004" 3 12 "7023" 70 12 "7023" 72 12 "7023" 27 12 "7023" 42 12 "7023" 110 12 "7023" 80 12 "7023" 78 12 "7023" 64 13 "7087" 82 13 "7087" 118 14 "7031" 31 14 "7031" 85 14 "7031" 68 14 "7031" 88 14 "7031" 55 14 "7031" 125 14 "7031" 121 14 "7031" 62 15 "7097" 21 15 "7097" 40 15 "7097" 780 15 "7097" 86 15 "7097" 98 16 "7004" 55 16 "7004" 58 16 "7004" 122 16 "7004" 87 17 "7090" 107 17 "7090" 117 17 "7090" 113 17 "7090" 28 18 "7050" 1676 18 "7050" 31 19 "7099" 97 19 "7099" 115 19 "7099" 119 end
Thank you.
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