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Re: AW: st: RE: AW: how to reconstruct a minimum acceptable income from a set of binary variables?


From   Ekaterina Hertog <ekaterina.hertog@sociology.ox.ac.uk>
To   statalist@hsphsun2.harvard.edu
Subject   Re: AW: st: RE: AW: how to reconstruct a minimum acceptable income from a set of binary variables?
Date   Mon, 02 Mar 2009 16:52:28 +0000

I do apologize for making my original dataset illegible... i hope my next attempt (just posted to stata list) is better....
Martin Weiss wrote:
<>
English is not my mother tongue, so I do not know what to make of this
"faux" (neither does my dictionary). Ekaterina`s dataset in her initial post
was not legible to me so I tried to emulate it. I cannot vouch for
correctness or whether I understood the poster`s intent entirely. Replies
should always be in reference to the original post, not to what someone made
of it...



HTH
Martin


-----Ursprüngliche Nachricht-----
Von: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu] Im Auftrag von Jeph Herrin
Gesendet: Montag, 2. März 2009 17:13
An: statalist@hsphsun2.harvard.edu
Betreff: Re: st: RE: AW: how to reconstruct a minimum acceptable income from
a set of binary variables?

Well, on inspection, I see that her data have multiple
tags per record, so that 1s are filled to the right after
the first (left to right) 1; I was misled by
Martin's faux dataset.  Her stated logic would then
require:

   gen min=mininc1*500+(mininc2-mininc1)*1000+(mininc3-mininc2)*1500


Pending clarificaiton from Ekaterina about the _real_ structure
of her data..

Jeph




Nick Cox wrote:
Good!
I didn't spell out that I feared that there are yet other variables in
what might be Ekaterina's _real_ problem, lurking behind her stated
problem, making a more general approach attractive too. Nick n.j.cox@durham.ac.uk
Jeph Herrin

Briefer yet:

   gen min=mininc1*500+mininc2*1000+mininc3*1500

which also traps the missings Nick cautions about.

Nick Cox wrote:
A variation on the same idea: gen min = 500 foreach v in 1000 1500 2000 { replace min = `v' if mindesinc_`v' == 1 }

To be careful, check egen row = rowtotal(mindesinc*) assert row == 1 Nick n.j.cox@durham.ac.uk
Martin Weiss

*reconstruct Ekaterina`s data
clear*
input id mindesinc_500_999 mindesinc_1000_1499  mindesinc_1500_1999
101 1 0 0 0
102 0 1 0 0
103 0 0 1 0
104 0 0 1 0
105 0 1 0 0
end
*construct the minimum desired income
g mindesinc=500 if mindesinc_500_999
replace mindesinc=1000 if mindesinc_1000_1499
replace mindesinc=1500 if mindesinc_1500_1999
l

Ekaterina Hertog
I am dealing with a dataset from a private company and so my data
often
comes in rather strange format and I now came against the following
problem:
I have a set of individuals who answered questions about desired
income.
It looks as follows:

Individ nmb | Min desired income 500 - 999 | 1000 - 1499 |  1500 -
2000
|
101 | 0 | 0 | 1 | 102 | 0 | 1 | 1 | 103 | 0 | 0 | 1 | 104 | 1 | 1 | 1 | 105 | 0 | 1 | 1 |

Is there a way to automatically recode these binary minimum desired income variables into a numerical variable which would state the
minimum
acceptable figure for each individual?
That is some routine which would check "Min desired income 500 - 999" and if it equals 1 then would input 500 for the individual in question into a newly constructed variable "Minimum acceptable income" and move on to the next person and if it equals 0 would look at the value of "1000 - 1499" variable and if it equals 1 would input 1000 for that person and move on to the next person and if it is 0 would look at
"1500
- 2000" variable?
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--
Ekaterina Hertog (née Korobtseva)
Career Development Fellow
Department of Sociology and Nissan Institute of Japanese Studies
University of Oxford

27 Winchester Road
Oxford
OX2 6NA
United Kingdom


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