Hello, I am stuck while thinking about this issue and I would
appreciate your suggestions. I have a dataset which I use for
simulation purposes, to test whether my do-files run correctly. The
issue is that this dataset is too short for many applications, as it
has only 200 observations.
What I want to do is expand this dataset to include more observations,
but keeping the same (unknown to me) data generating process that
created the first 200 observations. So I was thinking to proceed in a
bootstrapping manner, by drawing the values for each one of the
variables (var1, var2 etc etc) for the new observations from the
empirical distributions of var1, var2,... in the first 200
observations. Yet, I have no idea on how to implement this. I'm
grateful for any idea. Thanks for your interest,
Davide
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