Dear Stata users,
I have a panel with 150 countries and years from 1965 to 1992. I have a variable "k", whose values by country I need to extrapolate to 1997. The problem is that I don't want to use the extrapolation method that Stata uses with the -ipolate- command. What I want is to run a regression of my variable k on a linear time trend by country, and then use the last "k" available for each country and the estimated beta to "forecast" the value of k for 1997.
One problem, though, is that the availability of k differs by country. For some countries, it is available for the entire sample up to 1992; for others, it is available only until 1990 or 1991; for a few of them, the data are only available until 1985, for example.
How can I extrapolate the values up to 1997 using this idea of a linear time trend and taking into account the data point for the last k available for each country?
I am writing a very complicated program with lots of loops, which seems very inefficient and not too intuitive... and I'm sure there's a better way of doing this... any ideas?
In case you want to see what my data looks like, it's something like this:
country year k
ARGENTINA 1965 50
ARGENTINA 1966 52
...
ARGENTINA 1990 78
ARGENTINA 1991 80
ARGENTINA 1992 81
BOLIVIA 1965 16
BOLIVIA 1966 18
...
BOLIVIA 1990 28
BOLIVIA 1991 .
BOLIVIA 1992 .
...
Thank you very much in advance!!
Adrian
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