Stata：如何将数值视为CEM中的分类值？
在我的数据中，我有一个收入水平的变量，分别是1,2,3,4,5,6,7,8,9。我想知道是否直接将这个变量放入imb 或 cem 而不按照手册中所示重新编码，算法会将 is 视为数值还是分类值？
或者我应该像这样重新编码吗？
recode income (1 = 1 "1") (2 = 2 "2") (3 = 3 "3") (4 = 4 "4") (5 = 5 "5") (6 = 6 "6") (7 = 7 "7") (8 = 8 "8") (9 = 9 "9"), gen(income_recode)
我想对数据集的分类变量应用精确匹配。
In my data, I have a variable of income level, which is 1,2,3,4,5,6,7, 8, and 9. I am wondering if I directly put this variable in imb or cem without recoding as illustrated in the manual, will the algorithm treat is as numerical value or categorical value?
Or shall I do recoding like this
recode income (1 = 1 "1") (2 = 2 "2") (3 = 3 "3") (4 = 4 "4") (5 = 5 "5") (6 = 6 "6") (7 = 7 "7") (8 = 8 "8") (9 = 9 "9"), gen(income_recode)
I would like to apply exact match on categorical variable for my dataset.
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