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st: time smoothing in panel data
I'm attempting to create a model to predict performance. I have about
500 different groups, and have as many as 200 and as few as 1
observation for each group. These occur over an 8 year period and
there are gaps in days between them. For example, one group might
have an observation July 1, then July 6; for another group, it could
be July 2, then July 9. What I want to do is determine how much I
should weigh each previous observation to predict performance for a
future observation. I would have thought -tssmooth nl- might work,
but it did this by group. I want to control for group and create a
decay function that I can use to predict future performance for all
groups. Any help would be greatly appreciated!
Thanks,
Rufus
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