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Re: st: -reshape long-


From   Man Jia <jia.m@neu.edu>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: -reshape long-
Date   Sun, 10 Aug 2008 14:33:43 -0400 (EDT)

Hi David,

Thanks for your help!

You are right---
It should be  -drop if age~=19 & age~=20
                    age83 rather than age93.

Thanks!
Mandy

David Kantor wrote:


>At 01:20 AM 8/10/2008, Mandy Jia wrote:
>>Hi all,
>>
>>I'm not familiar of the command -reshape-. So I was wondering if anyone
>>could help me with an example of how to use -reshape- command.
>>
>>The data set I'm working on looks like this(w means wage)
>>------------------------------------------------------------------------
>>-
>>id age80 age81 age82 age93 age84  w80  w81  w82  w83  w84
>>
>>1    18      19       20      21      22     10   11    13    14    14.2
>>2    19      20       21      22      23     15   16    16    14    15
>>3    17      18       19      20      21      9     9     10    11
>>11.4
>>---------------------------------------------------------------------
>>When I reshape the data set, I want to limit the age to the range
>>[19,20].
>>In order to use fixed effects and random effects models to analyze, I
>>want to reshape the data into:
>>---------------------------------------------------------------------
>>id   age   w    year
>>1    19   11    81
>>1    20   13    82
>>2    19   15    80
>>2    20   16    81
>>3    19   10    82
>>3    20   11    83
>>---------------------------------------------------------------------
>>What I tried is as follows:
>>
>>.reshape long age w ,i(id) j(year)
>>.drop if age~=19 | age~20
>>.sort id age
>>
>>My question is, is there any better way to do this? I'm not sure if
>>what I did is OK, although I havn't found any weired thing in the
>>result now.
>
>Your command looks correct. The age filter is a separate matter (and 
>I think you really meant -drop if age~=19 & age~=20).
>You may want to inspect the data after the reshape -- before the age 
>filter -- to convince yourself that it did what you wanted.
>
>Also, I assume that in your data example you meant age83, rather than 
age93.
>
>I can't comment on how this fits in fixed effects and random effects 
>models. But in any case, it is good to be acquainted with -reshape-, 
>and in most cases, a long shape is the most useful.
>
>HTH.
>--David
>
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