Dear Stata people,
I am currently working on a difference-in-differences model in its simplest form - treatment and control group, pre- and post-intervention period.
However, I got a large panel data set and I wonder what is the best way to estimate the DID in Stata to account for flaws like serial correlation.
Should I go for a simple
reg y x incl. interaction term, ROBUST
Or should I apply clustering?
Or even xtreg with fe?
Any help is greatly appreciated.
Thanks a lot, happy 2013!
Barbara
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