Dear Statalisters,
For graphing purposes I want to aggregate a panel data set, from unit to
group level, to get a mean value for each group, each year. Nonetheless, I
would also like to have 95 %-confidence intervals (CI) around the calculated
mean. What is making things a bit complicated is that I need to use
(importance) weights when aggregating the data set.
One way of doing this is by using the 'statsby'-program together with the
'ci'-program, but this does not allows importance weights.
statsby mean=r(mean) upper=r(ub) lower=r(lb), saving("C:\....", replace)
by(group year): ci var
Can anyone suggest a solution to get mean values with confidence intervals
using importance weights in this particular case?
Best,
Johan Hellström
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