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priem
2009 May 26
0
Bootstrapping and estimation of standard error
...w to do it, but I'm just the
beginner :-) . (FYI: x is the vector of income data and 90000 is the
poverty line).
Then one of possibilities how to estimate the standard deviation is
bootstrapping. I found a simple program:
resamples.h <- lapply(1:1000, function(i) sample(size = 100,
silc$prijem, replace = T))
r.headcount <- sapply(resamples.h, headcount)
Then it's easy to estimate S.E.
So my first question is whether this might be correct. Then I would like
to ask, how the number of replications (in this case 1000) and size of
the sample (samples of size 100, the real sample wa...