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Re: st: [merging US industry level data]
...
It looks like you can just use a straight -merge- (called a many-to-one
merge, but that doesn't matter) without any reshaping or creating some new
combined variable. You certainly do not want to append. If both datasets
are sorted, you can just:
merge state year using USING
Stata may issue a warning about lack of unique identification in the master
dataset, but you can ignore that since you know that is what you
expect/intend.
Michael Blasnik
----- Original Message -----
From: "Scott Cunningham" <[email protected]>
To: <[email protected]>
Sent: Friday, September 29, 2006 9:08 AM
Subject: Re: st: [merging US industry level data]
<snip>>
Not to butt in, but can you elaborate? I have two datasets currently:
one on health outcomes where the panel identifier is a state variable
which varies over time, and another dataset (the master dataset) where
the panel identifier is a state, race, age, and sex specific cell that
varies over time. The health data is from 1980-2000, while the master
dataset is from 1970-2000. Originally I was using -joinby- but it was
causing the master data to drop the 1970-1979 years. So I was going back
to -merge-, and had planned to - reshape- the data down to a level where
the merge could occur between using and master datasets. But are you
saying here that -append- might be better, where a dummy variable
indicating the using from the master data? But won't this just extend
the length of the master data? For instance, say the data is:
<snip>
My thought was to reshape vbl1 by sex, age and race, as I was saying, so
as to create a single state observation, and then merging on that state
using the using data. But are you saying that it's easier to use append?
Wouldn't it just add teh data to bottom of the master data?
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