Our outcome variable is birthweight and independent variables are antenatal care, education, age
We want to apply PSM on it and we are looking for the commands on that since we are having a trouble running the commands
Here is our sample data set
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input double birth_weight byte(antenatal_care age edu) 2 2 22 2 4 1 35 5 3 1 34 4 2.724 2 35 2 3 3 30 2 2 2 33 7 2.25 6 34 2 2.5 1 37 3 4 1 32 2 9.998 3 26 3 5 1 23 6 2.3 1 25 3 1 4 24 . 3.5 1 24 . 9.998 3 34 . 3 5 22 . .898 2 32 2 2.5 1 20 2 9.998 4 29 4 3 2 20 2 9.998 5 37 . 2 4 31 3 9.998 7 30 2 1 2 26 . 2 3 33 3 5 6 29 . 3 6 25 2 9.998 6 31 . 1.635 1 37 6 2.5 6 37 . .98 1 28 6 1.362 4 35 . 3 1 36 . 2.05 4 46 . 9.998 6 40 5 2.11 7 35 . 6 2 22 1 3 3 35 3 3 1 34 2 1 2 24 3 3 3 28 5 3 4 40 4 1 5 30 . 3 1 40 . 3.5 1 30 . 3.2 2 27 . 1.5 1 30 . 3 2 28 2 2 3 25 . 3 7 27 2 2.5 2 19 3 9.999 1 22 2 2 3 20 4 1 7 27 3 1.5 6 25 . 1.5 3 31 2 3 3 28 2 1.5 4 34 1 9.998 6 28 2 3 1 25 . 3 4 20 . 1.5 4 28 3 3 3 27 2 3 2 25 5 9.998 3 20 . 5 1 47 2 9.999 2 28 4 .908 2 29 4 3 2 27 6 2 1 24 . 9.998 3 34 . 2.5 6 34 3 9.999 6 33 . 2.5 4 34 4 2.5 2 40 5 1.362 6 25 . 3 1 40 3 2 1 24 2 1.136 2 27 2 9.998 3 22 . 2 2 28 . 3 4 34 5 4 2 37 . 2.27 3 29 . 1.362 2 23 3 9.998 3 28 2 4 1 28 2 3.3 4 30 5 4 3 27 6 .908 3 32 6 2.27 7 32 2 1 1 19 . 9.998 3 23 2 1.454 3 18 . 3 1 18 3 2 1 29 2 5 6 38 . .908 2 30 3 .908 4 29 4 3 2 27 4 end label values birth_weight labels136 label values antenatal_care labels85 label values age labels17 label values edu labels20
0 Response to Propensity score matching
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