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Re: st: Doubts on how to better prepare my dataset with -reshape- and -merge_


From   Clarice Martins <martins.clarice@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Doubts on how to better prepare my dataset with -reshape- and -merge_
Date   Mon, 28 Oct 2013 00:17:26 -0200

Red Owl, thank you!

I see your point, and it sounds it will work.

The only question is: i do have 151 return periods to type up year and month... is there another way?

> rename returnJun2000 return200006
> rename returnJul2000 return200007
> rename returnAug2000 return200008





On Oct 27, 2013, at 6:09 PM, Red Owl wrote:

> Clarice,
> 
> I am not sure I understand what you want, but perhaps this will
> do it or give you a conceptual approach:
> 
> clear
> input co_id str4 ticker_name str9 return_type returnJun2000
> returnJul2000 returnAug2000
> 1 ABCB formation 0.01 0.2 0.3
> 2 AEDU formation 0.01 0.2 0.3
> 3 AMBV formation 0.01 0.2 0.3
> 1 ABCB buysell 0.01 0.2 0.3
> 2 AEDU buysell 0.01 0.2 0.3
> 3 AMBV buysell 0.01 0.2 0.3
> 1 ABCB holding 0.01 0.2 0.3
> 2 AEDU holding 0.01 0.2 0.3
> 3 AMBV holding 0.01 0.2 0.3
> end
> 
> rename return_type rtype
> rename returnJun2000 return200006
> rename returnJul2000 return200007
> rename returnAug2000 return200008
> 
> reshape long return, i(co_id rtype) j(yrmonth)
> 
> order ticker_name, after(co_id)
> sort co_id rtype
> list, noobs sepby(co_id rtype) abbrev(14)
> 
> 
> Red Owl
> redowl@liu.edu
> 
> 
>>> 
>>> Clarice Martins wrote:
> 
> I have:
> - dataset that is wide
> - i couldn't figure out how to transform it to long using -reshape-
> because there is 3 variables that uniquely define an observation: co_id
> (an id per company), period (a month and year period for each
> observation), and type_return (there are 3 different types of return and
> for each there is an observation per company, per period)
> - dataset looks like this:
> 
> co_id ticker_name return_type returnJun2000 returnJul2000 returnAug2000
> (and so on)
> 1 ABCB formation 0.01 0.2 0.3
> 2 AEDU formation 0.01 0.2 0.3
> 3 AMBV formation 0.01 0.2 0.3
> 1 ABCB buysell 0.01 0.2 0.3
> 2 AEDU buysell 0.01 0.2 0.3
> 3 AMBV buysell 0.01 0.2 0.3
> 1 ABCB holding 0.01 0.2 0.3
> 2 AEDU holding 0.01 0.2 0.3
> 3 AMBV holding 0.01 0.2 0.3
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