Randomly select control variables and perform 100 regressions?

I have a treatment group of 100 observations and a control group of 100,000 observations. I need to randomly draw 1,000 control observations and use those observations as controls in my regression. I need to repeat this 100 times and collect the beta and SEs for each. I've written the following code:

Code:

program define myprog
use "table.dta", clear
sample 1000 if treat == 0, count
logit y treat x2 x3 x4
end

set seed 1234
simulate _b[treat] _se[treat], reps(100): myprog

gen t_treat = _sim_1/_sim_2
gen p_treat = 2*(1-normal(abs(t_treat)))

The code appears to work, but is it doing what I want? I tested it by manually running myprog once myself (after I made sure to set seed 1234) and comparing it to the output of the first rep of simulate. Beta and SE don't match. Any idea what is going on?