Maarten Buis recommended a book for you to buy
and I can endorse that. In fact, it is so good
you should have one for home and one for work.
Perhaps even three, because someone will walk
away with one and you'll never see it again.
In the mean time, here is one approach to
what I understand to be your problem.
1. Add a pseudo-county to the end of your data
with the missing years. Use an -fip- already
used. You can do this in -edit-.
county fip year
9999 1 1983
...
999 1 2004
2. Now fill in using
fillin county year
3. Now -drop- the observations for the pseudo-county.
It never existed anyway.
Nick
[email protected]
Scott Cunningham
> I have the following dataset on county-level data. VBL is a dummy
> indicating whether an object is present in the county. COUNTY is a
> number greater than 0 indicating which United States county is being
> described, and FIP is indicating which US state.
>
>
> +-----------------------------+
> | county fip year vbl |
> |-----------------------------|
> 1. | 1 1 1980 0 |
> 2. | 1 1 1981 0 |
> 3. | 1 1 1982 0 |
> 4. | 1 1 1984 0 |
> 5. | 1 1 1985 0 |
> |-----------------------------|
> 6. | 1 1 1987 1 |
> 7. | 1 1 1988 1 |
> 8. | 1 1 1991 1 |
> 9. | 1 1 1992 1 |
> 10. | 1 1 1995 1 |
> |-----------------------------|
> 11. | 1 1 1996 1 |
> 12. | 1 1 1999 1 |
> 13. | 1 1 2000 1 |
> +-----------------------------+
>
> As one can see, I am missing years 1983, 1986, 1989, 1990, 1993,
> 1994, 1997, 1998, and 2001-2004. For each county/fip, I want to
> create 12 new observations which I can then use to fill in the
> missing years. I can do the filling in, but I cannot find
> information for simply expanding this dataset by n observations. I
> have searched for the answer, but -expand- takes me to various
> places, like -fillin-, neither of which seem appropriate. Any help
> is appreciated.
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