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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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