I'm trying to run a for loop to make a balance table in Stata (comparing the demographics of my dataset with national-level statistics)
For this, I'm prepping my dataset and attempting to calculate the percentages/averages for some key demographics.
preserve
rename unearnedinc_wins95 unearninc_wins95
foreach var of varlist fem age nonwhite hhsize parent employed savings_wins95 debt_wins95 earnedinc_wins95 unearninc_wins95 underfpl2019 { //continuous or binary; to put categorical vars use kwallis test
dis "for variable `var':"
tabstat `var'
summ `var'
local `var'_samplemean=r(mean)
}
clear
set obs 11
gen var=""
gen sample=.
gen F=.
gen pvalue=.
replace var="% Female" if _n==1
replace var="Age" if _n==2
replace var="% Non-white" if _n==3
replace var="HH size" if _n==4
replace var="% Parent" if _n==5
replace var="% Employed" if _n==6
replace var="Savings stock ($)" if _n==7
replace var="Debt stock ($)" if _n==8
replace var="Earned income last mo. ($)" if _n==9
replace var="Unearned income last mo. ($)" if _n==10
replace var="% Under FPL 2019" if _n==11
foreach col of varlist sample {
replace `col'=100*round(`fem_`col'mean', 0.01) if _n==1
replace `col'=round(`age_`col'mean') if _n==2
replace `col'=100*round(`nonwhite_`col'mean', 0.01) if _n==3
replace `col'=round(`hhsize_`col'mean', 0.1) if _n==4
replace `col'=100*round(`parent_`col'mean', 0.01) if _n==5
replace `col'=100*round(`employed_`col'mean', 0.01) if _n==6
replace `col'=round(`savings_wins95_`col'mean') if _n==7
replace `col'=round(`debt_wins95_`col'mean') if _n==8
replace `col'=round(`earnedinc_wins95_`col'mean') if _n==9
replace `col'=round(`unearninc_wins95_`col'mean') if _n==10
replace `col'=100*round(`underfpl2019_`col'mean', 0.01) if _n==11
}
I'm trying to run the following loop, but in the second half of the loop, I keep getting an 'invalid syntax' error. For context, in the first half of the loop (before clearing the dataset), the code stores the average values of the variables as a macro (`var'_samplemean). Can someone help me out and mend this loop?
My sample data:
clear
input byte fem float(age nonwhite) byte(hhsize parent) float employed double(savings_wins95 debt_wins95 earnedinc_wins95 unearninc_wins95) float underfpl2019
1 35 1 6 1 1 0 2500 0 0 0
0 40 0 4 1 1 0 10000 1043 0 0
0 40 0 4 1 1 0 20000 2400 0 0
0 40 0 4 1 1 .24 20000 2000 0 0
0 40 0 4 1 1 10 . 2600 0 0
Thanks!