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st: RE: RE: missing values in panel data
From
Schöler, Lisa <[email protected]>
To
"[email protected]" <[email protected]>
Subject
st: RE: RE: missing values in panel data
Date
Wed, 4 Aug 2010 14:59:11 +0000
I have tried -ipolate- now. When I look at the correlation between the predicted variables and the "real" variables for the years where I have the data the correlation is only .25 which is not very satisfying.
Any other suggestion what could make sense?
-----Original Message-----
From: [email protected] [mailto:[email protected]] On Behalf Of Nick Cox
Sent: Wednesday, August 04, 2010 4:49 PM
To: [email protected]
Subject: st: RE: missing values in panel data
I don't know what is _best_, but I don't see why you think using -ipolate- is not possible, as -ipolate- can also be used for extrapolation. (I don't think there is any command -interpolate-.)
Nick
[email protected]
Schöler, Lisa
in my panel data set (unbalanced) I have a variable called "RD spendings". I have those data for the years 2001-2009 (sometimes less years) for 200 companies each year. Now I need to predict/forecast the missing data for 1999 and 2000. I think that -interpolate- is not possible. Looking at the trend between 2001 and 2009, I can tell that the spendings are rising most of the times.
Can somebody give me a suggestion what would be the best solution with Stata?
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